Additional information
| Select Batch | Weekend Batch : 24th April, 08:30 AM To 12 PM ( 25 Seats Left), Weekday Batch : 12th May, 8 PM To 10:00 PM ( 20 Seats Left) |
|---|
Download Program Brochure
Introduction to Programming 3hr
What is a programming language ? Source code Vs bytecode Vs machine code
Compiler Vs Interpreter ,C/C++, Java Vs Python
Jupyter notebook basics 1hr
Different type of code editors in python introduction to Anaconda and
jupyter notebookFlavours of python.
Python Programming Basics 2hr
Variable Vs identifiers Vs strings, Operators Vs operand Procedure
oriented Vs modular programming
Statistics basics 2hr
Introduction to statisticsMean,median, mode, Standard deviation,
AverageIntroduction to probability,permutations and
combinationsIntroduction to linear Algebra
Git and GitHub 2hr
Learn the key concepts of the Git source control system,Configure SSH for authentication,Create and use a remote repository on GitHub,Git Overview
Tools Covered
Programming Basics &Environment Setup hr
Installing Anaconda, Anaconda, Basics, and Introduction, Get familiar with version control, Git, and GitHub.Intro to Jupyter Notebook environment. Basics Jupyter notebook Commands.Programming language basics.
Python Programming Overview hr
Python 2.7 vs Python 3,Writing your First Python Program
Lines and Indentation,Python Identifiers,Various Operators and Operators
Precedence ,Getting input from User,Comments,Multi line Comments.
Strings, Decisions And Loop
Control hr
Working With Numbers, Booleans and Strings,String types and
formatting, String operations Simple if Statement, if-else Statement
if-elif Statement. Introduction to while Loops. Introduction to for Loops,Using
continue and break.
Python Data Types hr
List,Tuples,Dictionaries,Python Lists,Tuples,Dictionaries,Accessing Values,Basic Operations,Indexing, Slicing, and Matrixes,Built-in Functions & Methods,Exercises on List,Tuples And Dictionary
Functions And Modules hr
Introduction To Functions – Why Defining Functions. Calling Functions
Functions With Multiple Arguments.Anonymous Functions – Lambda
Using Built-In Modules, User-Defined, Modules, Module Namespaces,Iterators And Generators
File I/O And Exceptional Handling and Regular Expression hr
Opening and Closing Files,open Function,file Object Attributes
close() Method ,Read,write,seek.Exception Handling, try-finally Clause
Raising Exceptions, User-Defined Exceptions. Regular Expression- Search
and Replace. Regular Expression Modifiers. Regular Expression Patterns,re module.
Data Analysis Using Numpy And
Pandas hr
Introduction to Numpy. Array Creation, Printing Arrays, Indexing, Slicing and Iterating, Shape Manipulation -Changing the shape, stacking, and splitting of the array. Vector stacking, Broadcasting.
Pandas : Introduction to Pandas,Importing data into Python
Pandas Data Frames, Indexing Data Frames, Basic Operations With Data frame,
Renaming Columns, Subletting, and filtering a data frame.
Data Visualisation using Python:
Matplotlib and Seaborn hr
Matplotlib: Introduction,plot(),Controlling Line Properties,Subplot with Functional Method, MUltiple Plot, Working with Multiple Figures,Histograms
Seaborn :Intro to Seaborn And Visualizing, statistical relationships , Import and Prepare data.Plotting with categorical data and Visualizing linear relationships Seaborn Exercise
R programming hr
Installing R and R Studio,Setting up the environment,R Datatypes, Operators, Variables Coercion rules in R Functions and arguments Matrices Data Frame Constants,Data Inputs and Outputs with R,Vectors and Vector operation,Advanced Visualization,Using the script vs. using the console
Data Manipulation hr
Vector Manipulation & Sub Setting,List Manipulation, Sub Setting & Merging,Matrix Manipulation, rep fn & Data Frame,Data transformation with R – the Dplyr package ,Sampling data with the Dplyr package,Using the pipe operator in R Tidying data in R – gather() and separate(),Tidying data in R – unite() and spread(),Melting & Casting,String Manipulation with Stringi Package,Data Definition Language Commands,Data Manipulation Language Commands
Visualization in R hr
Introduction to ggplot2,Building a histogram with ggplot2,Building a bar chart with ggplot2,Building a box and whiskers plot with ggplot2,Building a scatterplot with ggplot2,Low Level Plotting,Timeseries Plots,Bar Plot & Density Plot,Combining Plots,MatPlot, ECDF & BoxPlot with IRIS Data set,QPlot, ViolinPlot, Statistical Methods & Correlation Analysis Set.Seed Function & Preparing Data for Plotting
Data Preparation hr
How to handle Missing Data,Data Filtering using is.na() and which(),Reseting the dataframe index,Replacing Missing Data,Median Imputation Method,Factual Analysis Method,Deriving Values Method,Visualizing results in R
Fundamentals of Math and
Probability hr
Basic understanding of linear algebra,Matrics, vectors. Addition and
Multimplication of matrics.Fundamentals of Probability
Probability distributed function and cumulative distributed function.
Descriptive Statistics hr
Describe or sumarise a set of data Measure of central tendency and
measure of dispersion.The mean,median,mode, curtosis and skewness. Computing Standard deviation and Variance.Types of distribution.
Inferential Statistics hr
What is inferential statistics,Different types of Sampling techniques
Central Limit Theorem,Point estimate and Interval estimate
Creating confidence interval for,population parameter
Characteristics of Z-distribution and T-,Distribution. Basics of Hypothesis
Testing. Type of test and rejection,region. Type of errors in Hypothesis yesting,
Hypothesis Testing hr
Hypothesis Testing Basics of Hypothesis Testing ,Type of test and Rejection Region,Type o errors-Type 1 Errors,Type 2,Errors. P value method,Z score
Method. The Chi-Square Test of, Independence.Regression. Factorial Analysis of
Variance. Pearson Correlation, Coefficients in Depth. Statistical,Significance, Effect Size
Data Processing & Exploratory
Data Analysis hr
What is Data Wrangling, Data Pre-processing and cleaning?
How to Restructure the data? What is Data Integration and Transformation
What is Time Series & Forecasting 8hr
Introduction,Forecasting model creation,Time Series – Basic Notations
Graphical Displays,Numerical Description of Time Series Data,Feature Engineering Basics Resampling,Use of Data Transformations and Adjustments,General Approach to Time Series Modeling and Forecasting, Evaluating and Monitoring Forecasting Model Performance,White Noise,Differencing ,Random Walk
Basic Properties,Linear Processes,Introduction to ARIMA Processes,SARIMA model,Test Train Split,Auto Regression Model,Spectral Analysis,Nonstationary and Seasonal Time Series Models,Multivariate Time Series,State-Space Models
Forecasting Techniques hr
The ARAR Algorithm,The Holt–Winters Algorithm,The Holt–Winters Seasonal Algorithm,Choosing a Forecasting Algorithm,Introduction to Neural Networks,Creating Perceptron model,Gradient Descent,Back Propagation,Hyperparameters
Transfer Function Models,Intervention Analysis,Long-Memory Models
Random Variables and Probability Distributions,Distribution Functions and Expectation,Random Vectors,The Multivariate Normal Distribution,Mean Square Convergence
Basics hr
Creating a New Workbook,Navigating in Excel ,Moving the Cell Pointer
Using Excel Menus,Using Excel Toolbars: Hiding, Displaying, and Moving Toolbars Entering Values in a Worksheet and Selecting a Cell Range ,Previewing and Printing a Worksheet Saving a Workbook & Re-opening a saved workbook
Formatting a Worksheet hr
Creating Headers, Footers, and Page Numbers,Adjusting Page Margins and Orientation,Adding Print Titles and Gridlines, rows to repeat at top of each page,Formatting Fonts & Values,Adjusting Row Height and Column Width,Changing Cell Alignment,Adding Borders ,Applying Colors and Patterns,Using the Format Painter
Merging Cells, Rotating Text Using Auto Fill
Managing your workbooks hr
Switching Between Sheets in a Workbook ,Inserting and Deleting Worksheets
Renaming and Moving Worksheets ,Protecting a Workbook ,Hiding Columns, Rows and Sheets,Splitting and Freezing a Window ,Inserting Page Breaks,Advanced Printing Options
Editing a Workbook hr
Entering Date Values and using AutoComplete ,Editing, Clearing, and Replacing Cell Contents Cutting, Copying, and Pasting Cells Moving and Copying Cells with Drag and Drop,Collecting and Pasting Multiple Items Using the Paste Special Command Inserting and Deleting Cells, Rows, and Columns Using Undo, Redo, and Repeat Checking Your Spelling Finding and Replacing Information ,Inserting Cell Comments
Formulas hr
Formulas Creating a basic Formula,Cell Referencing,Calculating Value Totals with AutoSum Editing & Copying Formulas ,Fixing Errors in Your Formulas
Formulas with Several Operators and Cell Ranges ,Conditional Formatting
Working with the Forms Menu hr
Working with the Forms Menu ,Sorting, Subtotaling & Filtering Data
Copy & Paste Filtered Records ,Using Data Validation
Creating & Working with Charts hr
Creating a Chart ,Moving and Resizing a Chart,Formatting and Editing Objects in a Chart,Changing a Chart’s Source Data,Changing a Chart Type and Working with Pie Charts,Adding Titles, Gridlines, and a Data Table ,Formatting a Data Series and Chart Axis,Using Fill Effects
Data Analysis & Pivot Tables hr
Creating a PivotTable ,Specifying the Data a PivotTable Analyzes,Changing a PivotTable’s Calculation,Selecting What Appears in a PivotTable ,Grouping Dates in a PivotTable ,Updating a PivotTable,Formatting and Charting a PivotTable
Automating Tasks with Macros hr
Recording a Macro
Playing a Macro and Assigning a Macro a Shortcut Key
RDBMS And SQL Operations hr
Introduction To RDBMS. Single Table,Queries – SELECT,WHERE,ORDER,BY,Distinct,And ,OR. Multiple Table
Queries: INNER, SELF, CROSS, and OUTER, Join, Left Join, Right Join, Full
Join, Union,Advance SQL Operations:Data Aggregations and summarizing the data
Ranking Functions: Top-N Analysis, Advanced SQL Queries for Analytics
NoSQL Databases hr
Topics – What is HBase? HBase Architecture, HBase,Components,Storage Model of HBase,HBase vs RDBMS,Introduction to Mongo DB, CRUD,Advantages of MongoDB over
RDBMS,Use cases
Grouping, Sorting, Aggregating hr
Count, Distinct, Sum, Min, Max, Avg,Group by, HAVING, Sort, Limit, ORDER BY, AS,Funnels, YOY revenue, and Sales by Location,Conditional Statements,Subqueries
VIEWS INDEXES
Mathematical Functions hr
CEIL & FLOOR,POWER,RANDOM,ROUND,SETSEED
Date & Time Functions hr
CURRENT DATE & TIME,EXTRACT,AGE
String Function hr
LENGTH,REPLACE,UPPER,LOWER,SUBSTRING,CONCATENATION,TRIM, LTRIM, RTRIM
PATTERN MATCHING,REGULAR EXPRESSIONS
Basics and CRUD Operation hr
Databases, Collection & Documents,Shell & MongoDB drivers,What is JSON Data
Create, Read, Update, Delet,Working with Arrays,Understanding Schemas and Relations
MongoDB hr
What is MongoDB? Charateristics, Structure and Features,MongoDB Ecosystem
Installation process,Connecting to MongoDB database,What are ObjectIds in MongoDb
Data Formats in MongoDB,MongoDB Aggregation Framework,Aggregating Documents
What are MongoDB Drivers?,Finding, Deleting, Updating,Inserting Elements
Introduction to Tableau hr
Connecting to data source Creating dashboard pages
How to create calculated columns,Different charts
Hands-on :Hands on on connecting data
source and data cleansing
Hands on various charts
Visual Analytics hr
Getting Started With Visual Analytics,Sorting and grouping Working with sets, set action,Filters: Ways to filter, Interactive Filters,Forecasting and Clustering
Hands-on: Hands on the deployment of Predictive
model in visualization
Dashboard and Stories hr
Working in Views with Dashboards and Stories,Working with Sheets
Fitting Sheets, Legends and Quick Filters, Tiled and Floating Layout Floating Objects
Mapping hr
Coordinate points,Plotting Latitude and Longitude
Custom Geocoding,Polygon Maps,WMS and Background Image
Basic Aggregations and Row Level vs. View Level Expressions
Basic Calculations vs. Table Calculations,Fixed vs. Include,Fixed vs. Exclude
Introduction to Dashboards,Navigating a Dashboard,Building the Dashboard
Device Customization,Formatting,Dashboard Creation,Building Stories
Getting Started With Power BI hr
Installing Power BI Desktop and Connecting to Data Overview of the Workflow in Power BI Desktop,Introducing the Different Views of the Data Mode,Query Editor Interface Working on Data Model
Import data from Excel files,Import data from CSV files,Import Real-time Streaming Data,Import from Web,Import data from SQL Server,Import Data from Folder,Import data from OData feed REST-API,Download and Install SQL Server Express,Download and Install Sample Databases,All about Data Flows
Programming with Power BI hr
Working with Timeseries,Understanding aggregation and granularity,Filters and Slicers in Power BI,Maps, Scatterplots and BI Reports,Connecting Dataset with Power BI,Creating a Customer Segmentation Dashboard,Analyzing the Customer Segmentation Dashboard,Waterfall, Map Visualization,Pie and Tree Map,Include and Exclude, Categories with no Data
Power Queries hr
Remove rows and columns,Create calculate columns,Make first row as headers
Change Data type, Replace Values and Rearrange the columns,Remove duplicates
Unpivot columns and split columns,Append Queries,Merge Queries
Power BI Visuals hr
PowerBI Visuals Introduction Visuals-Line Charts,Visuals-Pie Chart,Visuals-Bar Charts
Stacked bar Chart,Clustered Column Chart,Visuals-Combo Chart,Visuals-Treemap Chart
Visuals-funnel Chart,Visuals-Scatter Chart
Visuals-Gauge Card,Visuals-Matrix,Visuals-Table,Visuals-Slicers
Visuals-KPIs,Visuals-Maps
Visuals-Text boxes – Shapes – Images
Modelling hr
Creating your first report,Modelling Basics to Advance,Modelling and Relationship,Ways of creating relationship,Normalization – Denormalization OLTP vs OLAP,Star Schema vs Snowflake Schema
DAX using Power BI hr
What is Dax,Dax Data Types,Dax Operators and Syntax,Importing Data for Dax Learning,Resources for Dax Learning M vs Dax,Create a Column,Rules to Create Measures,Calculated Columns vs Calculated Measures,SUM, AVERAGE, MIN, MAX, SUMX, COUNT, DIVIDE, COUNT, COUNTROOMS, CALCULATE, FILTER, ALL
Time Intelligence hr
Create Date Table in M,Create Date Table in DAX,Display Last Refresh Date
SAMEPERIODLASTYEAR,TOTALYTD,DATEADD,PREVIOUSMONTH
Project :Indian Road Analysis
Find out how much investment is requirement in national highways to meet its economic needs as a part of infrastructural development as the road network of India is second largest road network in The World.
Project : Credit Card Eligibility of Customers
Study how Predictive Analytics will be implemented to evaluate a customer’s ability to repay and whether or not they can be given a credit card.
Project : Netflix Movies and TV Shows
Explore what all other insights can be obtained from the list of tv shows and movies available on Netflix. Network analysis of Actors / Directors and find interesting information.
Project : Predictions for app ratings on the Google Play store
Create a model to forecast an app’s rating, along with other app-related details to increase the app’s exposure.
Project : Smart Supply Chain
A DataSet of Supply Chains used by the company DataCo Global is used for the analysis. It also allows the correlation of Structured Data with Unstructured Data for knowledge generation.
Project : Forecasting Uber Demand
Create an interactive dashboard using Tableau, used to get historical insights into a neighborhood. Ex, see upcoming forecasted demand, increase the accuracy, decrease surge pricing events.
Project : IBM HR Analytics
Applying analytic processes to the human resource department of an organization in the hope of improving employee performance and therefore getting a better return on investment.
Project :Consumer Reviews of Amazon Products
The goal is to analyze Amazon’s most successful consumer electronics product launches, discover insights into consumer reviews.
200+
Content Hours Available
20+
Industry Projects
20+
Live Learning Sessions
25
Expert Coaching Sessions
14
Programming Tools/ Languages
MODULES
Course Modules
Python for Data Science
Statistics Mathematics
Machine Learning
Deep Learning
NLP / Text Analytics
Computer Vision
Project Management
R Programming
Domain Training
Google Cloud
mySQL
Mongo DB
Power BI
Tableau
Apache Spark
Reinforcement Learning
Real Time Projects
AI/ML Project Management
Indeed, the data analytics course in Pune is a wholesome study package for data analytics training. Certainly, we provide a complete study package for people to gain skills of ML, AI, DL, and many more. Definitely, our course is very beneficial to the professionals working in different domains. Indeed, our data analytics course in Pune is a unique combination of the latest modules and capstone projects. Also, our course in data analytics in Pune covers most of the important aspects of data analysis in different work domains.
Definitely, our data analytics course in Pune is easily accessible to working professionals and fresh college students. The fundamental training in data analytics course in Pune includes:
- Programming
- Machine Learning algorithms
- Tableau
- PowerBI
- Big Data
- Spark Analytics
- Hadoop
- Python
- Statistics
- Natural language processing
- TensorFlow
- Decision Tree
- Deep Learning
- SQL
- MongoDB
- Data Visualization
- Training and Deploying Machine Learning model using GCP
- Real-time industry projects
Also, the data analytics course in Pune is an affordable course. Certainly, the program guarantees the students to submit the fees in instalments without any interest. Surely, we offer maximum flexibility to our learners in payment of fees and learning from any corner of the world. Certainly, the data analytics course in Pune is specialised and up to the mark. Being the best data analytics institute in Pune, we provide job assistance programs too.
In simple words, data analytics total analysis to identify useful patterns. Surely, it starts from the collection of meaningful data and further processing. Also, it includes processes of- cleansing, wrangling, transforming, modifying, and lastly modelling. Definitely, the final goal of data analytics is to predict new outcomes. Also, providing interpretations. Therefore, the data analytics course enables us to come up with better decisions.
Certainly, there are many types of data analytics such as:
- descriptive analytics
- prescriptive analytics
- automated data analytics
There are some differences between them. Learn more about them in our data analytics course in Delhi. A data analyst can work in Delhi in different fields. Our data analytics course in Delhi is ideal for finding placements at big techs.
Surely, the primary job of a data analyst working in Delhi is to apply the knowledge of algorithms. Undoubtedly, a data analyst should have both theoretical and practical knowledge. Indeed, they must have the ability to use knowledge and retrieve meaningful data. Also, analysing it for meaningful interpretations. Of course, their job includes data cleansing. Also, helping in the preparation of business models for profits.
Indeed, many established MNCs and start-ups require data analysts in the lead roles. Also, the demand is very high yet the supply is very low. Surely, data analysts are hired for the job positions of:
- data scientist
- business analyst
- machine learning engineer
- artificial intelligence engineer
- big data analyst
- data engineer
Delhi is in need of a data analyst with advanced professional skills and in-depth domain knowledge.
Definitely, the data analytics course is an ideal opportunity for data science enthusiasts. Of course, the data analytics course is open for admission to professionals. At least, one year of work experience in any domain is compulsory. Surely, they can take up the data analysis course in Delhi easily and attend the live sessions in online mode. As a result, there is no mandatory requirement for the candidates to have a coding background. Both the programming and non-programming candidates can take admission. Of course, it is optimum for preparing AI engineers with practical hands-on training.
Of course, the data analytics course in Delhi is open to college students. This foundation course will allow the learners to gain the latest industry knowledge. The expert training given guides the students to find suitable jobs as data analysts.
Our primary concern is only to provide the best data analytics course in Delhi to the Delhi learners. We offer complete flexibility to our learners to pick the mentor of their choice. We concentrate on producing world-class data analysts in Delhi. If you want a lucrative career in data science, you must talk to our career counsellors at Learnbay. We guide you on the data analytics course in Delhi and the perfect modules suitable to your interest.
We recommend our data analytics course in Delhi for a successful career. You might belong to any work domain or have zero professional work experience. But you are eligible to be a part of Learnbay and later on start a career in data science. We offer the data analytics course in Delhi since:
- More than 1 lakh job openings across India with maximum openings in Bangalore
- Salary packages usually range between INR 10 lakh to INR 20 lakh per annum
- Demand for data analysis and talented data analysts is increasing
- Multiple job profiles in Data Analysis are offered and more because data Analytics is a large domain
- Since the scope is growing the demand for data analysts and data scientists will grow
- A comprehensive study plan that offers students a clear insight on what to learn
Learnbay’s success lies in its ability to collaborate with the world-famous IBM. Our partnership with IBM has led to an enormous rate of success. The certification process is done with the help of IBM. The data analytics course in Delhi has also collaborated with IBM. On completion of the data analytics course in Delhi, the IBM certificate is provided. To be eligible for this certificate, the candidates must perform well. Scores in the regular assessments at Learnbay matter. IBM partnership is helpful to us during the job placement drive. Our data analytics certification course in Delhi comes along with placement opportunities.
Indeed, learners of the data analytics course can get the IBM collaborated certificate. Certainly, the primary step is to enrol in the data analytics course in Delhi. The final step is to perform great in the regular exams conducted by the institute. At the end of the course, the learners are introduced to the job assistance program. Certificates are also issued.
Artificial Intelligence and Machine Learning courses
Learnbay provides customised data analytics courses and powerful tools in Delhi. The course is designed to meet industrial demands. Indeed, data analysis is conducted through various processes. Machine learning is one of the core components of data analysis. Also, the Learnbay data analytics courses in Delhi are popular for industries.
Learnbay Data Analytics certifications in Delhi provide AI and ML to Data analysts. Learnbay data science Institute ensures to provide customized data Analytics courses in Delhi.
The Learnbay data analytics course provides advanced levels of training in ML and AI. It is surprising but true that Learnbay has developed several artificial intelligence systems. Our data analytics course has helped data analysts to polish their technical skills.
Programming languages expertise
Our Data Analytics experts learn to work with different programming languages such as:
- Python
- C++
- Java
- JavaScript
- Shell
- TypeScript
- Scala
- R and others
Every Data Science industry demands an advanced level of coding knowledge.
Gaining skills for data engineering
Another efficient data science skill is to have data preprocessing and storing capacity. A data scientist must create, extract, transform, and develop pipelines. Also, do the process of data cleansing and storing. Learnbay industrial projects help in gaining mastering the data engineering skills.
Polishing data analytics skills
Practically, the most critical data science skill is data analysis. Data collection is a time taking process. But applying the appropriate algorithms to find useful patterns is equally challenging. With data analytics skills, a data enthusiast can perform all these jobs smoothly. Learnbay provides special data analytic online training on data visualization. Gain Business Analytics skills for domain specialization too.
AI/ML Model development
A data scientist will become proficient in using this knowledge base. The applications allow them to identify relationships between different datasets. Model development requires intensive training and testing. The actual role of a data scientist is to develop the right models for data analytics.
Deploying models, ensuring the security
It is mandatory to decide if the model is appropriate for implementation. Considering certain key parameters is necessary while deploying a machine learning model. The parameters are based on performance, scalability, fault tolerance, availability, and resiliency.
Software security is another important aspect of data science learning. Securing the machine learning models requires a lot of training. Providing access to the authorized personnel is exceedingly important. A data scientist learns all these proficiency skills at Learnbay.
Data Analyst Jobs in Delhi- Job Assistance Program
The job assistance programme is for the learners of the data analytics course in Pune offered by Learnbay. We provide data analytic training and placement in Pune. Our program includes a session of mock interviews for the candidates seeking a job in data analytics. We also guide learners in resume writing and technical round questions. We do everything possible to outshine a candidate’s attitude and overall personality. Our strong ties with MNCs and IBM enables huge placements. So stop worrying and take admission in the Learnbay best online course for data analytic in Pune if you wish to become the best data analyst in Pune and nearby areas.
Get enrolled in the Data Analytics training in Pune or Data science online training in Pune by contacting our counseling team. Pay the Data Analytics course fees with 0% EMI on Major credit cards. Please check with our sales team to know how 0% EMI on credit cards works.
Data Analytics course fees in Pune are lowered with our promotions and early bird offer from time to time. The amazing applicable discounts offered to Data Analytics enthusiasts are as follows:
Group Discount: Group discount is applicable if you are joining with your friends.
- 5% extra discount: Group of 2
- 8% extra discount: Group of 3
- Max 10% group discount: Group of 4+ members
Yes, the data analytics course is suitable for freshers. We offer a range of specialized courses for different groups of learners. At Learnbay, we provide foundation courses and fresher programs. You can visit our website for course descriptions. Also, for data analytics projects for each program in detail.
200+
Content Hours Available
20+
Industry Projects
20+
Live Learning Sessions
25
Expert Coaching Sessions
14
Programming Tools/ Languages
The data analytic course fee in Delhi depends on the program or course you choose to study. The fees for different data analytics courses in Delhi are mentioned below:
- Foundation Program: Data Science & AI Certification | Domain Specialisation For Professionals, Course Fee: ₹ 65,000+Taxes
- Advance Program: Advance AI & ML Certification | Become AI Expert In Product based MNCs, Course Fee: ₹ 79,000+Taxes
- For Managers: Data Science & AI Certification Program For Managers and Leaders, Course Fee: ₹ 79,000+Taxes
- Job Guarantee or Money Back: Data Science & AI Certification Course, Course Fee: ₹ 95,000+Taxes
- Fast Track Course: Data Science & Business Analytics Program | Fast Track Course,Course Fee: ₹ 50,000+Taxes
- Fresh Graduates: Industrial Training in Data Science and AI for Fresh Graduates | IBM Certified, Course Fee: ₹ 39,999+Taxes
Learnbay provides data analytics along with a special feature of job assistance. We help data Analytics enthusiasts to get through job interviews and resume preparation. Our relations help in bulk data scientist placements. We ensure to support candidates after the course completion. Career counselling and interview preparation are our major concerns. Getting placed in a firm depends on the ability of the candidate to crack mock interviews.
Learnbay is an ideal data Analytics course in Delhi. We are one of the best data science learning institutes in metropolitan cities such as Delhi. The primary focus of Learnbay is to provide:
- One to one interaction with the mentor
- Flexibility in choosing a mentor
- Real-time data analysis demonstration
- Industrial training
- Hands-on expertise in Domain elective projects
- Access to lectures and notes after course completion
- Provide job assistance and career counselling
- Provide 24/7 support to learners
IBM and Learnbay have joined hands to provide an intensive data analytics course. IBM and Learnbay work together to fulfill the following goals:
- Successful career transition in data science
- Domain specialisation with special elective course
- Provide effective data Analytics industrial training
- To meet the demands of the data science job market
- Providing assistance in getting placed in MNCs
- Providing a certification for legitimacy in job applications
The Data Analytics courses online by Learnbay are conducted in online mode. The live data analytics course online classes are accessible to learners in Delhi.
What is the total duration of this Data Analytics course in Delhi?
The duration of this data analytics course in Delhi varies. It depends on the type of Data Analytics course one chooses. The maximum duration of a data analytics course in Delhi is 6 months to 12 months. It includes live lectures and hands-on practical training on industrial projects. The lectures are accessible even after a year of course completion.
Can I pursue a Data Analytics course in Delhi after my graduation?
Yes, you can pursue a data analytics course in Delhi after graduation. Choose the foundation program or the freshers program depending on your needs. We also have a special course in data Analytics for professionals.
The eligibility for the data analytics course in Delhi are:
- Having 10+2 degrees from a recognized board
- Possessing a graduation degree from any stream
- Professional work experience for more than one year in any domain
- The inbuilt curiosity to learn about data science
- Keen interest in computer Analytics and programming
- Ability to understand machine learning and artificial intelligence algorithms
- Ability to imply mathematical structures to real-life problems
How many programming languages will I learn in this Data Analytics course in Delhi?
The programming languages taught in the data Analytics course in Delhi are:
- Python language
- R language
- mySQL and others
Special attention is paid to these two languages due to the high demand for model training.
What are the major industries in Delhi?
Delhi is home to a diverse spectrum of heavy and light industries. It includes high-tech and service sectors such as information technology (IT).
The important features of the Learnbay data Analytics course in Delhi are:
- Customised Data Analytics learning programs
- Domain specialisation elective for professionals
- Full-time student support
- Experienced mentors with professional skills
- Flexibility to choose mentors Real-time projects
- Hands-on practice for industrial projects
- Access to cloud lab for analysis demonstration
- Career counselling and job guidance
- Resume preparation
- Interview preparation
What are the major industries in Delhi?
Delhi is home to a diverse spectrum of heavy and light industries. It includes high-tech and service sectors such as information technology (IT).
How to become a Data Science and Business Analyst in Delhi?
To pursue a career in data science and business analysis. Please enroll in Learnbay’s data Analytics training course in Delhi. The Data Analytics course in Delhi will benefit you to master data Analytics skills. It will help you to handle interviews with more confidence if you are looking for a job in the data science domain.
How to Find Data Science and Business Analytics in Delhi?
This Data Analytics certification training provides hands-on experience with essential technologies. Live interaction with practitioners, practical laboratories, and industry projects. Kindly visit Learnbay and enroll in the course immediately.
Should I get a data Analytics certification? It’s the most perplexing question that every aspiring data scientist must confront. This is followed by additional queries – Will it boost the weight of my resume or will it assist me to land a job? This ultimately results in increased stress and confusion.
A data analytics certification undoubtedly has a number of advantages. It demonstrates your love and passion for data analytics, but there is a caution — due to the surge in data science, many courses have become widespread or general.
What are your options to get Certified as a Data Analyst?
To differentiate yourself from the competition, you’ll need to register in a course that exposes you to industry professionals and involves you in high-quality projects. Certification is used as a yardstick for measuring exceptional talent.As our courses include an IBM data Analytics professional certification, they take things a step further.
Will this Data Analytics course in Delhi help me to learn Data Analytics from scratch?
We pride ourselves on being the best data Analytics institute in Delhi. As part of our Data Analytics course, we provide a non-programming domain course. It requires no prerequisites and begins with the fundamentals.
The data analytics courses in Delhi depend on the program or course you choose to study.
- Data Science & AI Certification
- AI And ML Certification Program
- Data Analytics & AI Certification For Managers And Leaders
- Data Science & Business Analytics Program
- Industrial Training in Data Analytics and AI for Fresh Graduates
How will I receive Data Analytics course material after joining?
You will receive an email confirming your successful enrollment. It will outline how to obtain the Data Analytics course materials. By following the steps, you may quickly go through the video lessons.
According to Payscale, a data analyst salary in different metropolitan cities of India are as follows:
| City | Pay Scale |
|---|---|
| Mumbai | ₹406,598 per annum |
| Chennai | ₹409,968 per annum |
| Bangalore | ₹519,752 per annum |
| Hyderabad | ₹453,297 per annum |
| Pune | ₹459,892 per annum |
| Kolkata | ₹412,535 per annum |
It is self-evident that Bangalore offers a higher income and greater prospects for the growth of a data scientist. Learnbay’s data science course will equip you to apply for any data Analyst job across India or anywhere else in the world.
Throughout the world the data analyst salaries vary as follows:
| City | Pay Scale |
|---|---|
| United States | $61,822 USD per annum |
| United Kingdom | £27,713 per annum |
| Canada | C$57,835 USD per annum |
| Australia | AU$72,169 per annum |
| Singapore | S$50,118 per annum |
| New Zealand | NZ$62,306 per annum |
| South Africa | R280,136 per annum |
The following books are obligatory reading materials for any data science professionals:
- Data Analytics Made Accessible, A. Maheshwari
- Too Big To Ignore: The Business Case for Big Data, P. Simon
- Big Data: A Revolution That Will Transform How We Live, Work, and Think, V. Mayer-Schönberger and K. Cukier
- Business UnIntelligence: Insight and Innovation Beyond Analytics and
Big Data, B. Devlin
How long will I be able to access the subscription?
Flexible Two-Year Subscription
- The ability to attend numerous batches taught by a variety of trainers.
- Access to recordings of all our Learnbay data Analytics courses is perpetual.
- Possibility of switching batches between weekday and weekend sessions
I am not able to access the online Data science courses in Delhi. Who can help me?
Contact us via the form on the right side of any Learnbay page, the Live Chat link, or by contacting Help & Support.
Businesses are embracing digital transformation, and the increased reliance on data makes a career in data science quite lucrative. Businesses are ramping up their digital activities, and data analytics abilities will continue to be in high demand in the foreseeable future. Extensive use of business analytics has been observed in the past few years. Business analytics plays a key role in surplus growth and profits. Additionally, given the current skills shortage, businesses are willing to offer data scientists greater wages for the data scientist, business analytics, machine learning, and Artificial Intelligence roles. You can qualify for this rewarding job with Learnbay’s Data Science course.
A fresher can become a data analyst if he or she learns the trade secrets. To get started, rookies must plan on how they will stand out in the field. And how to keep up with individuals who already have relevant expertise. Learnbay’s Data Analytics certification teaches new graduates all the essential data analyst skills. Also, prepares them for the workforce by requiring them to work on real-world projects.
According to a 2017 IBM analysis, demand will climb another 28% by 2020. Adding 364,000 jobs (to 2.7 million), substantially boosting demand. But, this Data Analytics course in Delhi covers all pertinent ideas in detail. Thus, making it simple to put your new Data Analytics skills to use.
200+
Content Hours Available
20+
Industry Projects
20+
Live Learning Sessions
25
Expert Coaching Sessions
14
Programming Tools/ Languages
TRANSITION STEPS
Learning Track
Step 1
Learn Full Stack DS & AI
Learn basics Python, Statistics, ML, NLP , DL, SQL and other modules in depth with real time case studies.
Step 2
Choose domain & get trained
You can select multiple domains and get trained based on your work experience, academics and career goal.
Step 3
Work on real time projects
Work on multiple real time industry projects and capstone from multiple domains with mentorship of our expert.
Step 4
Resume Prep & Mock Interview Session
Update your resume and practice mock interviews. Get 100% guaranteed job referrals for data scientist & ML Engineer.
DATA SCIENCE
Real Time Projects
Predict Internal Failures
Domain: Manufacturing / Dataset: BoschUnderstanding about Manufacturing domain and its failures.Production line dataset to predict internal failures using thousands of measurements made for each component along the assembly line
Customer Review of products
Domain: eCommerce / Dataset: AmazonThe goal is to analyze Amazon’s most successful consumer electronics product launches; discover insights into consumer reviews and assist with machine learning models.
Self Driving Car Simulation
Domain: Automotive/AI Tools: Deep Learning/OpenCvThe goal is to analyze Amazon’s most successful consumer electronics product launches; discover insights into consumer reviews and assist with machine learning models.
Customer Churn In Telecom
Domain: Telecom Dataset: Telecom DatasetUnderstand the customer behaviour and reasons for churn. Apply multiple classification models to predict the customer churn in telecom industry .Compare Performance And Results of various Models
Predict Netflix TV shows
Domain: Entertainment Dataset: Netflix Understanding what content is available in different countries Identifying similar content by matching text-based features Network analysis of Actors and find interesting insights.
Clustering Customers
Domain: Retail Dataset: BigBazaarBig Bazaar has retail outlets across major metropolitan cities in India. With the help of machine learning algorithms we can better understand customer behaviour and understand their buying needs.
Airbnb New User Booking
Domain: Travel Dataset: AirbnbThe goal is to predict which country a new user's first booking destination will be. By accurately predicting where a new user will book their first travel experience, Airbnb can better forecast demand.
Forecasting Uber Demand
Domain: Transportation Dataset: Uber/RapidoThe goal is to accurately predict where, when, and how many ride requests Uber will receive at any given time.Create a dashboard for Uber forecasting model using tableau.
Tracking Human Activity
Domain: Healthcare Dataset: Samsung mobile dataThe goal is to breakdown all the data that the Samsung Health app has collected and see what useful insights we can gain by analyzing it.Also,Analyse this data to track activity.
Credit Risk Analytics
Domain: Banking Dataset: European Bank DataEfficiently build and validate models for credit risk management. Create a classifier that leverages financial information from bank accounts to estimate customer credit risk.
HR Analytics: Attrition
Domain: Human Resource Dataset: IBM Employee DatasetUnderstanding about HR Analytics Domain and Employee Attrition.Creating a Machine Learning Model to predict Attrition risks of current employees in a large organisation.
Smart Supply Chain Analytics
Domain: Supply Chain Dataset: DataCoA DataSet of Supply Chains used by the company DataCo Global is used for the analysis. Dataset of Supply Chain , which allows the use of Machine Learning Algorithms and R Software.
Walmart Sales Forecasting
Domain: Retail Dataset: WalmartThis dataset contains the sales for each department from the Walmart containing data of 45 Walmart stores, selected holiday markdown events are also included.Goal is to forecast sales.
SCHEDULE ONE ON ONE PROFILE REVIEW SESSION
Career Counselling,
From Domain Expert
From Domain Expert
Understand your personalised transition into data science from your current domain.
Know if your prior experience will be considered relevant for your career in data science.
Profile review will help you to resolve your queries about real time projects, job assistance, course modules etc.
Call Us +91 77956 87988 or
Data Science & Business Analytics Program
₹65,000.00
IBM certified Business Analytics & Data Analytics Program For Working Professional to Change Your Existing Domain and start your career in Business Analytics .This course will benefit you to master data science skills and will help you to to handle interview with more confidence if you are looking for job in data science domain.
