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

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

• Management:

The Data Scientist plays a little managerial role in that he assists in the development of a foundation of futuristic and technical abilities within the Data and Analytics sector.

• Analytics:

The Data Scientist is a scientific role that creates, implements, and evaluates high-level statistical models and techniques for use in the most complicated business problems.

• Collaboration:

The Data Scientist role is not a solo one, and he collaborates with superior data scientists to convey challenges and discoveries to important stakeholders in order to improve business performance and decision-making.

• Knowledge:

The Data Scientist also takes the initiative to investigate new technologies and tools with the goal of rapidly developing novel data-driven insights for the business.

• Additional Duties:

A Data Scientist may be assigned associated jobs and responsibilities by the Senior Data Scientist, Head of Data Science, Chief Data Officer, or Employer.

Working professionals with at least one year of experience in a non-programming/non-tech domain and one year of experience in a programming domain are eligible to enrol in the Data Science course. We provide separate training for professionals with a background in programming and core technology. (Artificial intelligence and machine learning).

Fresh graduates from any discipline (science, commerce, or arts) can enroll in the Data Science foundation or domain specialisation courses to learn everything from the ground up. Weekend sessions are also available to all college-going students.

We provide the greatest degree of choice in terms of selecting tailored courses and data science professional mentors. For the next several years, we are committed to generating top-quality data science specialists for every business on the planet.

The sole purpose of taking a data science course is not to become a data scientist. Anyone who enjoys dealing with data might set a goal of learning the fundamentals of data science. When we evaluate why data science is growing more necessary, fashionable, and valuable, we must also consider its increasing value.

• Data Science is the most promising profession of the future.
• Data science is an exciting subject with plenty of high-paying data science job openings
• The Supply and Demand of Data science
• Data Science has the potential to improve the world

Learnbay is recognized as the finest Data Science Training Institute in Pune. Additionally, it provides training and training services within the Data Science training program. The framework offers Data Science Certification in collaboration with International Business Machines Corporation (IBM), headquartered in New York.

Obtaining Data science certification online training in Pune is a matter of following simple and easy steps. Get yourself certified in data science in Pune by accomplishing good scores in assessments regularly. Qualify the Job assistance eligibility and get exciting job offers in Pune and all over India.

Learnbay is an ideal data science course training Institute in Pune. We are one of the best data science learning institutes in metropolitan cities such as Pune. The primary focus of Learnbay is to

• Provide one to one interaction with the mentor
• Give flexibility in choosing a mentor
• Provide real-time data analysis demonstration
• Offer industrial training
• Deliver 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

What is the total duration of this Data Science course in Pune?

The duration of this data science course in Pune varies depending on the type of Data Science course one chooses. The maximum period of a data science course is six months to 12 months. It includes live lectures and hands-on practical training on industrial projects. The classes are accessible even after a year of course completion.

Can I pursue a Data Science course in Pune after my graduation?

Yes, you can pursue a data science course in Pune after graduation. You can choose the foundation program or the freshers program depending on your needs. We also have a unique course in data science for professionals.

The programming languages taught in the data science course in Pune are Python and R, 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 Pune?

Pune is home to a diverse spectrum of heavy and light industries and high-tech and service sectors such as information technology (IT), electronics, telecommunications, and corporate finance.

Pune is India’s IT center and is frequently referred to as the Silicon Valley of India, which means that opportunities for a data scientist are abundant.

The important features of the Learnbay data science course in Bangalore are:

• Customised Data Science 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

To pursue a career in data science and business analysis, please enroll in Learnbay’s data science training course in Pune. The Data Science course will benefit you to master data science skills. It will help you 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 Pune?

This Data Science certification training provides hands-on experience with essential technologies through interaction with practitioners, practical laboratories, 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.

Of course, the following books are obligatory reading materials for any data science professionals:

• Data Science From Scratch by Joel Grus
• Hands-on Machine Learning with Scikit-Learn,Keras,TensorFlow by Aurélien Géron
• Build a career in Data Science by Emily Robinson and Jacqueline Nolis

Flexible Two-Year Subscription

• The ability to attend numerous batches taught by a variety of trainers.
• Access to recordings of all our learnbay data science courses is perpetual.
• Possibility of switching batches between weekday and weekend sessions

I am not able to access the online Data science course in Pune. 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.

Is Data Science a promising career in Pune?

Businesses embrace digital transformation, and the increased reliance on data makes a career in data science quite lucrative. Companies are ramping up their digital activities, and data science 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 crucial 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.

Data science is a broad field, and it is impossible to become an expert in it in six months or a year. To begin learning data science, you’ll need specialized technical abilities in addition to a working grasp of programming fundamentals and analytics tools. However, this Data Science course in Pune covers all pertinent ideas in detail, making it simple to use your new Data Science skills.

Can a fresh graduate seek employment after completing this Data Science course?

Companies are willing to pay greater wages to even entry-level data scientists due to the increased demand for the position. However, one must demonstrate their data science expertise and get industrial exposure. Learnbay’s Data Science certification teaches new graduates all essential data science skills. It prepares them for the workforce by requiring them to work on real-world projects.

The Data Science training in Pune provides advanced training in both machine learning and artificial intelligence. Learnbay has developed several Artificial Intelligence methods on its own. Our Machine Learning course in Pune and Artificial Intelligence course in Pune have aided Data Scientists to build the following top skills for work in an array of domains.

Proficiency in programming languages

Our Data Science experts learn to work smoothly 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. Learnbay’s curriculum is per that.

Acquiring data engineering skills

Another efficient data science skill is to have data preprocessing and storing capacity. A data scientist with the ability to create, extract, transform, and develop pipelines for the process of data cleansing, and keeping is necessary. Learnbay industrial projects help in gaining mastering the data engineering skills.

Keen Data analytics skills

Practically, the most critical data science skill is data analysis. Data collection is time-consuming, but applying the appropriate algorithms to find valuable patterns is equally challenging. The data representation into graphical forms such as histograms, box plots, heat maps, and others is also mandatory. 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 Business Analytics skills for domain specialization too.

Developing AI models

The fundamental role of a data scientist is to develop suitable models for data analytics. After understanding the machine learning course in Bangalore and Artificial Intelligence methods, a data scientist will use this knowledge base proficiently. The applications allow them to identify relationships between different datasets. Model development requires intensive training and testing.

Deployment of models & Security

After building a machine learning model, it is mandatory to decide if it is appropriate for implementation. Considering specific 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 critical aspect of data science learning. Securing the machine learning models requires a lot of training. Providing access to the authorized personnel is exceedingly essential. A data scientist learns all these proficiency skills at Learnbay at an affordable data science course fee.

Learnbay trained aspiring Data Scientists in Bangalore are provided mock interviews training and job assistantship. We help candidates with resume writing, interview questions & answers preparation, and choosing the right job profile in Bangalore. Our firm bond with MNCs and IT companies comes in handy during bulk placements. So, all you need to do is sit back, take classes, relax and let us do our job!