Certified Business Analytics Program

Get Familiar with MySQL

Learn to perform database tasks in SQL

Update, delete and insert records from database

Use joins to fetch data from multiple tables

Create reports and Perform Data Analysis using SQL

Learn Python Programming from scratch

Write Conditional and Iterative Statements in Python

Work with libraries and functions in Python

Understand Data Structures in Python

Reading files and manipulating data in Python

Learn to summarize data using Python

Working with pandas and other python libraries for data exploration

Use Matplotlib and Seaborn for data visualization

Creating charts to visualize data and generate insights

Univariate and Bivariate analysis using python

Perform Statistical Analysis on real-world datasets

Build and Validate Hypothesis using statistical tests

Generating useful insights from the data

Importing and working with different kinds of data in Tableau

Build bubble charts, geo-location charts, and many others

Learn to create Dashboards in Tableau

Master storyboarding in Tableau

Learn to create engaging presentations

Perform feature engineering in Tableau

Become familiar with data manipulation in Tableau

Loading datasets and establishing table relationships

Work with different type of charts and dashboards

Working with Map visualizations and other advanced charts with drill down functionalities

Working with power query for data manipulation

Writing DAX expressions

Structure a business problem into an analytics problem

Understand the stages of Data Science Lifecycle

Learn Key Frameworks for each stage in Data Science Lifecycle

Present analysis and business insights in an impactful manner

Communicate analysis and business insights to the stakeholders

Learn Important Machine Learning concepts

Understand Basic Machine Learning models

Understand and Implement Linear Models, Decision Tree, k-NN

Understand Math Behind each Machine Learning Algorithm

Building Classification and Regression Models using scikit-learn

Solving real-world business problems using Machine Learning

Understand Important concepts of Time Series Forecasting

Learn to use ML techniques for Time Series forecasting

Understand Validation and Evaluation techniques for Time Series

Learn Exponential Smoothing Methods for forecasting

Understand and Implement ARIMA and SARIMA Models

Implement Deep Learning architecture for Time Series

Explore the different roles in Analytics Ecosystem

Dos and Don'ts for Resume Building

Tips and strategies to build the perfect resume

Tips and Tricks to Ace the business analytics interviews

Handbook for Business Analytics Interview Questions