Data Analytics with Gen AI

Why should you take Data Analytics with Gen AI course?

• Offers 260+ hours of learning
• Certification from Nasscom
• Flexible learning with 24/7 access to study material
• Affordable fees
• Interactive learning tools including videos, quizzes, and discussions
• Personalized learning experience tailored to individual pace
• Capstone projects and case studies for practical exposure

Who should take Data Analytics with Gen AI course?

• Aspiring Analysts aiming to start a career in data analysis
• Career Changers from non-technical backgrounds transitioning into data analytics
• IT & Engineering Graduates seeking specialization in data analysis
• Business Professionals aiming to make data-driven decisions
• Freelancers & Consultants offering data analysis services
• Professionals in adjacent fields like marketing, finance, or operations looking to upskill

Curriculum

• Module 1
  • Introduction to Data Analytics
  • Data Analytics & Its Global Scope
  • Role Of Data Analyst?
  • Data Analyst vs Business Analyst
  • What is Bl and Its Importance?
  • Bl Tools and Techniques
  • Data Analytics Methods
  • Data Sources
  • Types of Data

• Module 2
  • Installation of Jupyter Notebook and Google Colab
  • Working with Python notebooks
  • Python Operators, Data types, built-in functions
  • List, slicing, list operators, tuples, dictionaries, set, def and return statement
  • Advanced python functions, SQLite intro and basic Operations
  • Introduction to Numpy
  • Introduction to Pandas
  • Date time manipulation and Data cleaning
  • Introduction to Matplotlib, Seaborn & Plotly

• Module 3
  • Statistics and Probability
  • Inferential stats. and feature engineering
  • Exploratory Data Analysis
  • Introduction to SQL
  • MySQL user interface
  • DDL, DML, DQL, TCL, DCL
  • Aggregate, String and Temporal functions
  • Working with Joins and Constraints
  • Indexes and Views
  • Use of subqueries
  • Union, Intersect, Sub-query
  • Use of window functions

• Module 4
  • Introduction to Power BI
  • Data Visualization
  • Data Modelling
  • Power Query Editor
  • Sample dashboard with Animation Visual
  • Introduction to Bl using Excel data in Power Bl
  • Creating reports
  • Custom Visual
  • Publishing, sharing & scheduling a refresh
  • Data Modelling & Normalization
  • Barps Plot, Quiver, Stream Plot
  • Data Visualization using Matplotlib, Data Visualization with Seaborn
  • Introduction to Streamlit

• Module 5
  • Excel Introduction
  • Worksheets and Workbook
  • Functions
  • Data Cleaning & Validation
  • Visualization
  • Macros and VBA
  • Security Features
  • Introduction to Tableau
  • Tableau End to End
  • Sample Dashboards in Tableau
  • Usage of SQL in Tableau

• Module 6
  • Introduction of Generative Al
  • Generative Al for Text Generation
  • Generative Al for Machine Translation
  • Generative Al for Creative Content Generation
  • Advanced Topics in Generative Al with NLP
  • LLMs: Use Cases and Potentials
  • Hugging Face Hub: A Gateway to Generative Al
  • Prompt Engineering: The Art of Guiding LLMs
  • Fine-tuning: Unveiling the Potential of LLMs

Tools you will learn in Data Analytics with Gen AI course?

• Python
• R
• SQL
• Excel
• Power BI
• Tableau
• GitHub
• Pandas
• NumPy
• AI/ML frameworks