Course Overview:

Our Data Analytics Training Program will provide a conducive environment to help students in imbibing the skills required for effective functioning in the world of analytics and succeed in their profession. It will give a much better opportunity and platform to learn and perform with Interactive Learning and Simulation Exercises.

Learning Outcome:

• Business Communication
• Introduction to Data Analytics
• Formatting Conditional Formatting and Important Functions
• Analyzing Data with Pivot Tables
• Business Analytics with Excel
• Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Data Query Language (DQL) and Transaction Control Language (TCL)
• SQL Constraints
• Other essential clauses, and operators
• Working with Multiple tables in SQL
• Python basics
• Libraries and Python Data Structures
• Python Programming Fundamentals
• Pandas library for data science
• Matplotlib for data visualization
• Understanding of Distribution theorems
• Concept of Structured and Unstructured data
• Clustering methods and Its implementations
• TensorFlow, Keras Libraries for numerical computations
• Python Libraries used in Data science and analytics process such as NumPy,Panda,SciKit many more.
• Introducing Microsoft Power BI Desktop
• Connecting & Shaping Data with Power BI Desktop
• Creating Table Relationships & Data Models in Power BI
• Analysing Data with DAX Calculations in Power BI
• Visualizing Data with Power BI Reports
• Artificial Intelligence (AI) Visuals in Power BI

Ideal for:

• Candidates who want to switch from Non-IT to IT Background
• Fresh Graduates who want to scale up their careers in the IT sector
• Anyone looking to work on Projects while getting trained
• Candidates with gaps in their career