Master the power of Python to analyze data, create impactful visualizations, build machine learning models, and explore cutting-edge Generative AI applications. This hands-on program equips you with industry-relevant skills through real-world projects, preparing you for high-demand careers in data analytics, AI, and intelligent automation.
Course Highlights
Curriculum — 10 modules
01Excel for Business Analytics
Data types, core formulas — IF, XLOOKUP, INDEX-MATCH — plus data cleaning and formatting, pivot tables and charts, conditional formatting, dashboards and reports, and business case studies.
02SQL for Data Analytics
Database fundamentals through SELECT, WHERE, GROUP BY and HAVING, joins and relationships, subqueries and CTEs, window functions, case statements, query optimization, and SQL projects.
03Python Programming for Data Analytics
Python fundamentals — variables, loops, functions, file handling, and OOP basics — followed by NumPy and Pandas for data cleaning and wrangling, working with CSV, Excel, and APIs, and hands-on Python projects.
04Exploratory Data Analysis & Visualization
Exploratory data analysis and descriptive statistics, data distribution analysis, Matplotlib, Seaborn, and Plotly interactive charts, turning findings into business insights and data storytelling, and EDA case studies.
05Statistics for Data Analytics
Probability and descriptive statistics, inferential statistics, hypothesis testing, t-tests, ANOVA, chi-square tests, correlation and regression basics, and statistical decision making.
06Power BI for Business Intelligence
Power BI Desktop, data import and transformation, Power Query, data modeling, DAX fundamentals, building interactive dashboards, publishing reports, and business intelligence projects.
07Generative AI for Data Professionals
An introduction to generative AI and large language models, working with ChatGPT, Claude, and Gemini, prompt engineering, AI-assisted data analysis, AI for Excel, SQL and Python, AI-powered report generation, AI image and presentation tools, and AI ethics and responsible AI.
08Python Automation with AI
Python automation, web scraping, working with APIs, automating Excel and reports, email automation, AI-powered data pipelines, scheduling analytics tasks, and automation projects.
09Retrieval-Augmented Generation (RAG) & AI Applications
An introduction to LangChain, vector databases and embeddings, RAG concepts, building AI chatbots, AI agent basics, document question answering, and business AI applications.
10Capstone Projects & Career Preparation
Retail sales, HR analytics, financial analytics, healthcare data, and customer segmentation projects, an AI-powered business analyst project, GitHub portfolio development, resume building, LinkedIn optimization, and mock interviews.
Major Projects
- Sales analytics dashboard using Power BI
- HR analytics dashboard
- Financial data analysis with Python
- AI-powered business intelligence assistant
- Chat with Excel/CSV using generative AI
- Business report generator using LLMs
- Customer insights dashboard
- Final industry capstone project
Course Features
- Weekly 3 live sessions, plus monthly offline sessions
- Assured internship and placement assistance
- Certification on completion
- Backed by 5+ years of trust and 1 lakh+ learners
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