Additional information
Select Batch | Weekend Batch : 15th May, 12:30 PM To 4 PM ( 25 Seats Left), Weekday Batch : 12th May, 8 PM To 10:00 PM ( 20 Seats Left) |
---|
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
Tools Covered
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
Introduction To Machine Learning 8hr
What is Machine Learning and its Challenges?
Introduction to Supervised Learning, Introduction to Unsupervised
Learning, What is Reinforcement Learning? Machine Learning applications
Difference between Machine Learning and Deep Learning
Supervised Learning 8hr
Support Vector Machines,Linear regression,Logistic regression
Naive Bayes, Linear discriminant analysis, Decision tree
the k-nearest neighbor algorithm, Neural Networks (Multilayer perception) Similarity learning
Linear Regression 8hr
Introduction to Linear Regression,Linear Regression with Multiple
Variables, Disadvantage of Linear Models, Interpretation of Model Outputs
Understanding Covariance and Colinearity, Understanding Heteroscedasticity
Case Study – Application of Linear Regression for Housing
Price Prediction
Logistic Regression hr
Introduction to Logistic Regression.–Why Logistic Regression .
Introduce the notion of classification, The cost function for logistic regression
Application of logistic regression to multi-class classification.
Confusion Matrix, Odd’s Ratio, And ROC Curve
Advantages And Disadvantages of Logistic Regression.
Decision Trees hr
Decision Tree – data set How to build decision tree? Understanding Kart Model
Classification Rules- Overfitting Problem. Stopping Criteria And Pruning. How to Find the final size of Trees? Model A decision Tree.
Naive Bayes. Random Forests and Support Vector Machines.Interpretation of Model Outputs
Unsupervised Learning hr
Hierarchical Clustering k-Means algorithm for clustering –groupings of unlabeled data points.Principal Component Analysis(PCA)-Data. Independent components analysis(ICA) Anomaly Detection Recommender System-collaborative
filtering algorithm
Case Study– Recommendation
Engine for e-commerce/retail chain
Natural language Processing hr
Introduction to natural Language Processing(NLP).
Word Frequency Algorithms for NLP Sentiment Analysis
Case Study :Twitter data analysis using NLP
Introduction to Time Series Forecasting hr
Basics of Time Series Analysis and Forecasting ,Method Selection in Forecasting,Moving Average (MA) Forecast Example,Different Components of
Time Series Data, Log Based Differencing, Linear Regression For Detrending
ARIMA and Multivariate Time
Series Analysis hr
Introduction to ARIMA Models,ARIMA Model Calculations,Manual ARIMA
Parameter Selection,ARIMA with Explanatory Variables Understanding Multivariate Time Series and Their Structure,Checking for Stationarity and Differencing the MTS
Case Study : Performing Time Series
Analysis on Stock Prices
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
Programming with SQL hr
Mathematical Functions,Variables,Conditional Logic Loops,Custom Functions
Grouping and Ordering, Partitioning, Filtering Data, Subqueries
MongoDB Overview hr
Where MongoDB is used? MongoDB Structures,MongoDB Shell vs MongoDB Server
Data Formats in MongoDB,MongoDB Aggregation Framework,Aggregating Documents
What are MongoDB Drivers?
Basics and CRUD Operation hr
Databases, Collection & Documents,Shell & MongoDB drivers
What is JSON Data Create, Read, Update, Delete Finding, Deleting, Updating,
Inserting Elements Working with Arrays Understanding Schemas and Relations
Introduction to MongoDB hr
What is MongoDB?Characteristics and Features,MongoDB Ecosystem,Installation process Connecting to MongoDB database,Introduction to NoSQL
Introduction of MongoDB module,What are ObjectIds in MongoDb
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
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
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
Introduction To Hadoop hr
Distributed Architecture – A Brief Overview Understanding Big Data,
Introduction To Hadoop ,Hadoop,Architecture,HDFS ,Overview of MapReduce
Framework,Hadoop Master – Slave Architecture,MapReduce Architecture
Use cases of MapReduce
Apache Spark Analytics hr
What is Spark Introduction to Spark RDD,Introduction to Spark SQL and Dataframes,Using R-Spark for machine learning
Hands-on:installation and configuration of Spark
Using R-Spark for machine learning
programming
Apache Spark Analytics hr
Getting to know PySpark,Pyspark Introduction,Pyspark Environment Setup
pySpark – Spark context,RDD , Broadcast and Accumulator,Sparkconf and Sparkfiles,Spark MLlib Overview,Algorithms and utilities in Spark
Mlib
Case Study hr
Hands-on:
Map-reduce Use Case 1: Youtube
data analysis
Map-reduce Use Case 2: Uber Data
Analytics
Hands-on: Spark RDD programming
Hands-on: Spark SQL and Dataframe programming
Introduction To GCP Cloud ML Engine hr
Introduction to Google CloudML Engine,CloudML Engine in Machine,Learning WorkFlow,+3Components of Cloud ML Engine -Google Cloud Platform Console.
gcloud command-line tool and Rest API
API
Training Machine Learning
Model hr
Developing a training application Packaging a training application
Running and monitoring a training job Using hyperparameter tuning Using GPUs for training models in the cloud
Introduction To R hr
Installation Setup Quick guide to RStudio User Interface
RStudio’s GUI3 Changing the appearance in RStudio
Installing packages in R and using the library Development Environment Overview
Introduction to R basics Building blocks of R Core programming principles
Fundamentals of R
Programming with R hr
Creating an object,Data types in R,Coercion rules in R
Functions and arguments, Matrices, Data Frame, Data Inputs and Outputs with R, Vectors and Vector operation Advanced Visualization, Using the script vs. using the console
Manipulating Data hr
Data transformation with R – the Dplyr package – Part
Data transformation with R – the Dplyr package – Part
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()
Visualizing Data hr
Intro to data visualization,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
Introduction to Deep Learning And Tensor Flow hr
Neural Network Understaing Neural Network Model Installing TensorFlow Simple Computation ,Contants And Variables. Types of file formats in TensorFlow. Creatting A Graph –Graph Visualization. Creating a Model– Logistic Regression Model Building using tensor flow TensorFlow Classification Examples
Introduction to Tensor Flow hr
Installing TensorFlow Simple Computation,Contents And Variables Types of file formats in TensorFlow Creatting A Graph – Graph Visualization Creating a Model – Logistic Regression Model Building TensorFlow Classification Examples
Understanding Neural Networks With Tensor Flow hr
Basic Neural Network, Single Hidden Layer Model,Multiple Hidden Layer Model,Backpropagation – Learning,Algorithm and visual representation,
Understand Backpropagation – Using Neural Network Example TensorBoard
Project on backpropagation
Convolutional Neural Network(CNN) hr
Convolutional Layer Motivation ,Convolutional Layer Application,
The architecture of a CNN, Pooling Layer Application Deep CNN, Understanding and Visualizing a CNN,Project: Building a CNN for Image Classification
Introduction to NLP & Text Analytics hr
Introduction to Text Analytics, Introduction to NLP
What is Natural Language Processing?, What Can Developers Use NLP Algorithms For?
NLP Libraries. Need of Textual Analytics Applications of Natural Language
Procession ,Word Frequency Algorithms for NLP Sentiment Analysis
Text Pre Processing Techniques hr
Need of Pre-Processing Various methods to Process the Text
data Tokenization ,Challenges in Tokenization,Stopping ,Stop Word Removal
Stemming – Errors in Stemming,Types of Stemming Algorithms -Table
lookup Approach ,N-Gram Stemmers
Distance Algorithms used in Text Analytics hr
string Similarity,Cosine Similarity Mechanishm -Similarity between Two text
documents. Levenshtein distance -measuring the difference between two sequences. Applications of Levenshtein distance LCS (Longest Common Sequence ) Problems and solutions ,LCS Algorithms
Information Retrieval Systems hr
Information Retrieval -Precision,Recall,F- score,TF-IDF,KNN for document retrieval,K-Means for document retrieval,Clustering for document retrieval
Topic Modelling & Dirchlett Distributions hr
Introduction to Topic Modelling,Latent Dirchlett Allocation,Adavanced Text Analytics & NLP,Introduction to Natural Language,Toolkit,POS Tagging NER
Projects And Case Studies hr
a. Sentiment analysis for twitter, web
articles
b. Movie Review Prediction
c. Summarization of Restaurant
Reviews
Project : Loan Default Prediction
Domain – Banking & Finance
DataSet : Banking Data
The bank wants to improve its services by finding interesting
groups of clients. Fortunately, the bank stores data about their clients, the accounts (transactions within several months), the loans already granted, the credit cards issued. This process of loan default prediction can be done with
machine learning algorithms.
Project : Clustering Customers
Domain – Retail industry
DataSet : BigBazar/Future Group
Big Bazaar has retail outlets across major metropolitan cities in India. With the help of machine learning algorithms, we can better understand customer behavior and understand their buying needs better.BigBazaar runs various loyalty
programs, festive offers which provide their customer more opportunities to
avail discounts.
Project : IBM HR Analytics
Domain – Demand/Supply
DataSet : IBM
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.This is especially concerning if your business is customer facing, as customers often prefer to interact with familiar people.
Project : Forecasting Uber Demand
Domain – Demand/Supply
DataSet : Uber & Rapido
The goal is to create an interactive dashboard using Tableau This Tableau Dashboard can be used to get historical insights into a neighborhood,For example,see its upcoming forecasted demand,increase the accuracy,decrease surge pricing events.
Project : Analyzing Health Data and tracking human activity
Domain – Healthcare
DataSet : Samsung
The 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.
Project : Identify fraudulent credit card transactions.
Domain – Banking & Finance
DataSet :Banking Dataset
To recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.It involves various processes like
Data Cleaning, Data Visualization, Insights generation, Model generation, Feature Engineering and so on.
Project : Consumer Reviews of Amazon Products
Domain – E-Commerce
DataSet :Amazon Data
The goal is to analyze Amazon’s most successful consumer electronics
product launches; discover insights into consumer reviews and assist with
machine learning models.What are the most reviewed Amazon products?
How do the reviews in the first 90 days after a product launch?
Project :Airbnb New User Bookings
Domain – Travel & Hospitality
DataSet :Airbnb
The 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 share more personalized content with their community, decrease the average time to first booking, and better forecast demand.
Project : Netflix Movies and TV Shows
Domain – Media and Entertainment
DataSet :Netflix
Explore what all other insights can be obtained from the list of tv shows and movies available on Netflix as of 2019. Understanding what content is
available in different countries Identifying similar content by matching text-based features Network analysis of Actors / Directors and find interesting insights.
Project : Walmart Sales Forecasting
Domain – Retail
DataSet :Walmart
This dataset contains the sales for each department from Walmart
a dataset containing data of 45 Walmart stores, selected holiday markdown events are also included. These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.
Project : -BMW Pricing Challenge
Domain – Automation
DataSet :BMW dataset
To find a good statistical model to describe the value of a used car
depending on the basic description How does the estimated value of a car change over time? Can you detect any patterns? How big is the influence of the
factors not represented in the data on the price?
Project : -Bosch Production Line Performance
Domain – Manufacturing
DataSet :Bosch
To predict internal failures using thousands of measurements and tests made for each component along the assembly line. This would enable Bosch to bring quality products at lower costs to the end user. The goal is to predict which parts will fail quality control
Project : -Smart Supply Chain for Big Data Analysis
Domain – Supply Chain
DataSet :Dataco
A 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.It also allows the correlation of
Structured Data with Unstructured Data for knowledge generation.
Project : -Trending YouTube Video Statistics
Domain – Social Media
DataSet :youtube
The dataset of this project are daily record of the top trending YouTube
videos, to generate insights like : Sentiment analysis in a variety of
forms Categorising YouTube videos based on their comments and statistics
Training ML algorithms like RNNs to generate their own YouTube comments.
Project : -Identify And Predict Customer churn in telecom industry
Domain – Telecom
DataSet :Telecom
The goal is to develop a churn prediction model that assists telecom operators to predict customers who are most likely subject to churn.Also to
understand the customer behavior and reasons for churn.Apply multiple
classification models to predict the customer churn in the telecom industry.
The best data science online institute in Bangalore, Learnbay provides a wholesome education. The data science course online provides a plethora of subjects. Mostly, modules are provided on mathematics, statistics, engineering, AI, and visualisation. These subjects are core to understanding the five stage life cycle of data science.
The perfect place to learn data science course online in Bangalore. We offer data science training online in programming and fundamentals. Professional guidance is provided on python, statistics, ML, NLP, SQL, and more. Importantly, data science course online in Bangalore offer real-time industry projects. The expert guidance of mentors helps in accomplishing capstone projects. These projects cover the practical aspect of learning data science.
A data scientist in Bangalore performs technical and analytical jobs. They must possess the knowledge of algorithm application and collection of data. They mostly deal with detection of trends in real data. They apply theoretical knowledge to assist industries. Identifying useful information is the core responsibility.
The data science professionals are hired by multinational corporations. The job positions offered include data engineer, business analyst, Data scientist, and more. Almost every domain requires data scientists in Bangalore. Indeed, Learnbay is one of the best data science institutes in Bangalore. Grab this wonderful opportunity and learn the data science course online. You can be a certified IBM learner from your home.
Learnbay data science course online is accessible to all the learners in Bangalore. Both working and non-working professionals can take up data science course online. Professionals with at least one year of work experience are eligible. Candidates belonging to technical or non-technical background can take admission as well. The diversity of courses allows every enthusiastic learner to enroll with Learnbay.
College going as well as fresh graduates from any stream can take up the data science course online. The foundation course starts from scratch. Therefore, do not worry if you have no coding background. The expert mentors make the course easier for the learners at any level.
We offer the flexibility for choosing customized courses and data science professional mentors. We are committed to producing top-quality data science professionals. For every industry in India and the world for the upcoming years.
Learnbay offers a data science course online in Bangalore with placement. Yes, you heard it right. We are ideal for a data science course online in Bangalore. We provide a wholesome study package along with job opportunities. The reason you should opt Learnbay data science course online in Bangalore are:
Great news for all the learners in Bangalore! Learnbay has been recognised by IBM. The data science professional certificate course in Bangalore is quite popular. We are providing data science online training in Bangalore at affordable fees. We provide training services within the framework of our program.
You can easily get the data science certification online in Bangalore too. Just follow these simple steps. First of all, enroll in our data science course online in Bangalore. Then actively participate in classes. Perform regularly well in the internal assessments. Be a good scorer and earn our confidence. With this, you will be eligible for the certificate as well as job assistance program. We offer a range of exciting placement opportunities in Bangalore and India. This could be your perfect opportunity for switching careers into data science. We are one of the best data science certification online providers. These data science free online course with certificate features are not available everywhere. You can count on Learnbay for authenticity and knowledge.
Artificial Intelligence and Machine Learning courses
We provide an integrated course for data science online. Artificial intelligence and machine learning are also a part of our course. Artificial intelligence is transforming the world at a great pace. It has reached our technology and industries at an unbelievable rate. In simple words, AI is a technology that is adopting human behaviour and implying it to machines.
Another important field of data science is machine learning. It is a great way to optimise machines and improve their functionalities. They learn by identifying patterns in data. In other words, machine learning is a subset of artificial intelligence. It is heavily dependent on a bulk amount of data. It is used multiple times in AI approaches.
Both AI and ML are taught in data science course online in Bangalore. We hold great grasp over the module. Our IBM Certified mentors ensure the best is taught to the young minds of Bangalore.
Learnbay data science course online certifications in Bangalore provide AI and ML modules. Our data science institute provides customized data science course online. As per the candidate needs and eligibility.
It is a good chance for professionals to build a career in data science. People with prior domain knowledge can learn data science. Also, they can work in a more efficient way in their field of interest. Learnbay provides seven customised data science course modules for domain specialisation. You can visit our website to learn more about them in detail. Or give us a call today and talk to a career counsellor for guidance.
Data science is the backbone of every industry in the present times. It is widespread and people are switching careers into data science. In fact for full-time opportunities. The data science course in Bangalore provides a wide range of courses. The reason that data science courses in Bangalore are so popular is due to the following.
If you wish to take a data science job in Bangalore, then you must go for the data science course by Learnbay. The learners gain the ability to find an appropriate job in the data science sector. Our intense training is appropriate to prepare candidates for data science job profiles. Our career counselling and resume preparation sessions help learners in self-representation. Our data science training in Bangalore with placement is the best offer. The mock interviews boost confidence to appear for a real industrial interview.
The Learnbay learners can choose an appropriate mentor as per their requirements. They can switch classes and attend the live lectures of other professionals. We provide total support in ensuring that the best is provided to each learner. From the choice of learning from the desired mentor to the entire shaping up of the career, we do it all for you. Our immense flexibility to the learners makes them better and more confident.
The Learnbay data science course in Bangalore is designed in specific ways. The parameters of the learners’ background are kept in mind and drafted by an expert. Our USP is the domain elective course. A course designed for business managers, leaders, finance experts, and more. These domain specialised courses are certainly going to improve personal and professional skills.
The most common concern of the learners is the data science course fees. They wonder if the data science course in Bangalore fees is affordable for everyone or not. But the truth is that Learnbay offers incredible discounts to the learners. We provide a data science course with a placement guarantee. Our data science course in Bangalore with placements is unique and dynamic. We ensure that your investment is totally worth it.
The Learnbay cloud lab is an amazing platform to learn about data science projects. The cloud lab is popular for the demonstration of how real-time data is analysed. Any student from any location can access the cloud lab at any time for quick lessons on data analysis. It is one of the best features of Learnbay, the best data science institute in Bangalore.
Yes, we have made this dream come true. Our Data Science Course in Bangalore is certified by IBM. Our global ties with big tech giants give us a greater platform to showcase the talent of our students. Our thousands of trained professionals are working with major industries. All due to the weighted resume of IBM certificates. It is indeed a golden phase to choose transformation.
Yes, the data science course in Bangalore offered by Learnbay 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, data science projects for each program in detail.
The data science course fees in Bangalore depend on the program or course you choose to study. The fees for different data science courses are mentioned below:
Learnbay provides a data science course in Bangalore along with a special job assistance. We help data science enthusiasts to get through job interviews and resume preparation. We ensure to support candidates after the course completion. Career counselling and interview preparation are our major concerns. Getting placed in an IT company depends on the performance at the data science course.
Learnbay institute is ideal online training for data science in Bangalore. We provide the best data science course in Bangalore and other parts of India. The primary focus of Learnbay is to provide:
IBM and Learnbay have joined hands to provide an intensive data science course. We are working together to fulfill the following goals:
The data science course in Bangalore by Learnbay is conducted in online mode.
The duration of this data science course in Bangalore varies. It depends on the type of Data Science course one chooses. The maximum duration of a data science course in Bangalore 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 Science course in Bangalore after my graduation?
Yes, you can pursue a data science course in Bangalore after graduation. You can choose the foundation program or the freshers program. We also have a special course in data science for professionals.
Learnbay is recognised as the finest Data Science Training Institute in Bangalore. You can come to the classroom if you live closer to the lecture halls in Bangalore. Aslo, are willing to attend the classroom training for the project. If not, the sessions will also be conducted Live-Online.
The eligibility for the data science course in Bangalore are:
The programming languages taught in the data science course in Bangalore are- Python language and R language, mySQL, and others. Special attention is paid to these two languages due to the high demand for model training.
The important features of the Learnbay data science course in Bangalore are:
To pursue a career in data science, please enroll in Learnbay’s data science course in Bangalore. Our incredible Data Science course will benefit you to master data science 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 the Data Science course in Bangalore?
This Data Science course in Bangalore provides hands-on experience and industry projects. Kindly visit Learnbay and enroll in the course immediately.
Should I get a data science certification? It’s the most perplexing question that every aspiring data scientist must confront. Additional queries follow this – Will it boost the weight of my resume, or will it assist me in landing a job? This ultimately results in increased stress and confusion.
A data science certification undoubtedly has several advantages. It demonstrates your love and passion for data science. Still, there is a caution — due to the surge in data science, many courses have become widespread or general.
To differentiate yourself from the competition, you’ll need to register in a course. Education that exposes you to industry professionals and involves you in high-quality projects. Certification is used as a yardstick for measuring exceptional talent.
We pride ourselves on being the best institute for a data science course in Bangalore. We provide a specialised non-programming domain course. This requires no prerequisites and begins with the fundamentals.
You will receive an email confirming your successful enrollment. It will outline how to obtain the Data Science course materials. By following the steps, you may quickly go through the video lessons.
The following are the top data science course in Bangalore:
According to Payscale, a data scientist’s salary in different metropolitan cities of world are as follows:
Of course, the following books are obligatory reading materials for any data science professionals:
Flexible Two-Year Subscription
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. The increased reliance on data makes a career in data science quite lucrative. Businesses are ramping up their digital activities. Also, the data science abilities will continue to be in high demand in the foreseeable future. Extensive use of Data Science has been observed in the past few years. Data Science plays a key role in surplus growth and profits. Additionally, in the current shortage, businesses are willing to offer greater wages. Qualify for the rewarding jobs with Learnbay Data Science course online in Bangalore.
According to a 2017 IBM analysis, demand will climb another 28% by next few years. Adding 364,000 jobs (to 2.7 million). Substantially boosting demand. However, this Data Science course in Dubai covers all pertinent ideas in detail. Thus, making it simple to put your new AI Analytics skills to use.
Companies are willing to pay greater wages to even entry-level data scientists. It is due to the increased demand for the position. However, one must demonstrate their data science expertise and get industrial exposure. Learnbay’s Data Science course in Bangalore teaches essential skills to new graduates. Also, prepares them for the workforce by requiring them to work on real-world projects.
The data science course provides complete training in artificial intelligence and machine learning. It helps a budding learner to grasp the fundamentals of data science quickly. Learnbay has efficiently created certain artificial intelligence methods in the past few years. The data science course has excellent artificial intelligence modules. It helps the data scientist to develop amazing data science skills such as the following.
Practically, the most critical data science skill is data analysis. Our course ensures to provide this skill through a data science course in Dubai. The data collection is a time taking process. But applying the appropriate algorithms to find useful patterns is equally challenging. The data representation into forms: histograms, box plots, heat maps is also important. With data analytics skills, a data enthusiast can perform all these jobs smoothly. Learnbay provides special training on data visualization in the data science curriculum. Gain Data Science skills for domain specialization too.
Data Science course in Delhi allow experts to learn these programming languages:
We help you in becoming a coding ninja in the shortest time. Every Data Science industry demands an advanced level of coding knowledge. Learnbay’s curriculum is in accordance with that.
Another efficient data science skill developed is data preprocessing and storing capacity. A data scientist must create, extract, transform, and develop pipelines. Learnbay industrial projects help in gaining mastery of the data engineering skills.
A data scientist shall become proficient in using the AI 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.
After building an ML model, it is mandatory to decide if the model is appropriate. 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. In fact, at an affordable data science course fee.
Our responsibility is to offer you the IBM issued certificate. Also, job assistance in Bangalore. The job seekers in data science can take full advantage of our job assistance program. All you have to do is perform well in the regular Learnbay assessments. Thus, we will guide you for cracking the toughest data science interviews. Our collaboration with the IT industries and IBM has helped us enough to place our learners at good MNCs. Our interactive career counselling programme and mock interview sessions help in technical rounds. Our goal is to help students in every way to find a great career in data science.
Those who enroll for live classroom training are eligible for a Flexi-pass of 6 months. With this option, we share your access to all ongoing batch details. But for a period of 6 months, so that you can attend live classroom sessions from any batch and learn at your own pace. This option also helps you to finish the course early. Also, you can attend multiple batches simultaneously. This option is best for someone working in shifts or who needs to work on weekends sometimes.
Duration of Data Science course in Bangalore is around 6 months, weekends only
(4 hours on Sat and Sunday) Course Duration: 200 hours (Approx)
The total duration of the Data Science course in Bangalore is 6 months. But after 4 Months( once 50% Of Machine learning is over). You can start working on Real-Time Projects and attend job interviews.
Resume Preparation Session: Expert guidance for writing a resume for data scientist Role
Preparing Project For interviews: Will help you to prepare and write a project description in your resume
Interview Guidance And Prep Session: 6 hours of interview readiness session to help you to prepare for interviews
One on One Mock Interviews
Note: We don’t provide any 100% Job Guarantee.
For further information, you may contact the course manager/Counselor. To know the eligibility of the job assistance program reach us today.
Note: We don’t provide a 100% Job Guarantee
The data science course fee is different for different programs. There is 0% EMI Available on Major credit cards. Please check with our sales team to know how 0% EMI on credit cards works.
Data science course cost in Bangalore is much lower with promotions and early bird offer from time to time. Please check on the website or talk to our sales team to know more about the applicable discounts.
Group Discount: Group discount is applicable if you are joining with your friends.
Group Discount: Group discount is applicable if you are joining with your friends.
Click here to download the list of project
We strive to deliver the best quality data science course in Bangalore as it is one of our serious priorities. All our mentors are data science professionals. They have at least 8+ years of experience in their respective fields.
₹65,000.00
IBM certified Data Science Course For Working Professional to Change Your Existing Domain and start your career in data science.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.
Select Batch | Weekend Batch : 15th May, 12:30 PM To 4 PM ( 25 Seats Left), Weekday Batch : 12th May, 8 PM To 10:00 PM ( 20 Seats Left) |
---|