Business Analytics with Python

Business Analytics with Python

MTA Certifications:
Python: MTA 98-381
Database SQL: MTA 98-364

Course Rating
Course Description

This course will cover topics like Python, Business Analysis, Statistical Tool, Statistical Modelling, various Machine Learning concepts like regression, decision making, market research, SQL, database management and Power BI as a visualization tool.
The Course also includes real time industry projects Real Estate Development, Business Solutions. This course will be a combination of videos and live sessions. Along with this course Soft Skills training will also be provided.

Why should one choose this course?

Business analytics is a very dependable method of gaining business insight based on data and statistics from previous business performance. It is a valuable asset to your company. Business analytics will provide you a concept of how you’ll make decisions about which model to apply to improve your company. The average annual income for a Business Analyst is 6 lacs.

What is the scope of this course?

In the upcoming future, Business Analytics will play a very vital role in each industry. The average Business Analyst compensation might range from Rs. 350,000 to Rs. 500,000, depending on your years of experience.

The lower end represents an entry-level pay with less than one year of experience, while the upper end represents a salary for people with 1-4 years of experience. As you get more experience, your income rises with it.

Course Structure

Introduction of Statistics
Types of Statistics
Types of variables
Levels of Measurements
Construction of frequency polygon
Constructing frequency table
Plotting histogram
Concept of population and sample
Measures of central tendency
Measures of dispersion
Measures of position
Probability concepts
Discrete probability distribution
Continuous probability distribution
Central limit theorem
Sampling methods
Estimation and confidence interval
Hypothesis testing
Types of Error
Analysis of Variance

Introduction to Python Installation Python Anaconda Basic Python Variables Variables Assignment Strings List & List as Stack Dictionary Tuples Sets & Frozen Sets Operators Conditional Statements Loops Functions and Methods Error Handling
Libraries in Python – Pandas Scikit Learn Numpy MatplotLib
Reading and Writing files

Classification techniques
Time Series Forecasting

Terminologies – Records, Fields, Tables, Introduction to database
Concept of ER Modelling
Relational Algebra: The fundamental operations of relational algebra are as follows −
Set different
Cartesian product
Introduction to SQL, SQL Syntax, SQL data Types, SQL Operators, Table creation in SQL- Create, Insert, Drop, Delete, and Update, Table access & Manipulation, Select with Where Clause (In between, logical, operators, wild cards, order, group by), Concepts of Join – Inner, Outer

Ridge and Lasso regression
Principle Component Analysis (PCA)
Gradient Boosting


Introduction, Natural language processing, Natural language processing, Text clustering, Topic modelling, Document summarization,  Sentiment analysis, Text visualization

Introduction to deep learning, Neural Networks Basics, Shallow neural networks, Deep Neural Networks

1.Understanding the project topic

2.Research about the project

3.Constructing the project using R programming

4.Step by step building of project

5.Mentoring sessions for the project

6.Final product

Course Duration

40Hrs Technical

Entry Level 
Approx. average Rs. 3.58 LPA

Approx. average Rs. 8 LPA

Expert Level 
Approx. average Rs. 1 Cr. PA
Accreditation Partner(s)


Are you ready to take the next step toward your future career?

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