Mastering Data Analytics using Python, SQL and PowerBI

Learn from industry experts with real-world projects, mentorship, and career-focused programs.

A small group of people are gathered in a modern conference room. One person stands by a whiteboard presenting a diagram labeled 'UGC Types', while the others are seated around a wooden table with laptops and papers. A large screen on the wall displays content related to the presentation.
A small group of people are gathered in a modern conference room. One person stands by a whiteboard presenting a diagram labeled 'UGC Types', while the others are seated around a wooden table with laptops and papers. A large screen on the wall displays content related to the presentation.

This comprehensive training is designed to enhance your skills in Data Analytics, helping you advance your career. Throughout the course, you'll work on real-world projects and gain hands-on experience in Python, SQL and PowerBI. We start from the basics, so no prior knowledge is required.

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Detailed course topics

Introduction to Data Analytics:

  • Define data analytics and its significance.

    • Explore applications.

Introduction to Power BI:

  • Overview of Power BI and components.

    • Connecting it with Datasets.

Data Preparation:

  • Power Query Editor.

    • Data cleaning methods.

Data Visualization in Power BI:

  • Charts

    • Visualizations and Dashboard

    • DAX

Introduction of Database System and SQL:

  • SQL Queries.

    • CURD Operations

    • Window Operations

Python Basics for Data Analytics:

  • Overview of Python and its significance

Exploratory Data Analysis (EDA):

  • Data Visualization with Matplotlib and Seaborn.

    • Statistics and correlation analysis.

Data Manipulation with Pandas:

  • DataFrames and Series.

    • Filtering, grouping, and aggregating

    • Combining datasets.

Building a Data Analytics Project:

  • Integrate Python and Power BI.

    • Best practices for presenting findings to stakeholders.

Case Studies and Real-World Applications:

  • Analyze industry datasets and organize group projects for practical application.

This outline ensures participants gain theoretical knowledge and practical skills in data analytics.

Mastering Data Analytics Training
Fees: ₹14,999/-

Live Session Timing: 8:00AM, IST