Data Analytics: Python, SQL & PowerBI
Unlock your potential in the world of data with our comprehensive Data Analytics Syllabus. This program guides you through essential tools and concepts, from foundational Excel skills to advanced Power BI dashboards. Prepare for a successful career as a data analyst with hands-on projects and real-world case studies.
Module 1: Excel for Data Analytics
Data Handling & Cleaning
Master data types, formatting, and cleaning techniques to ensure data integrity.
Essential Functions
Learn VLOOKUP, INDEX, MATCH, IF, and other critical functions for data manipulation.
Charts & Dashboards
Create dynamic Pivot Tables, Pivot Charts, and interactive dashboards.
What-If Analysis
Utilize Goal Seek, Data Tables, and Scenario Manager for strategic planning.
Module 2: SQL for Data Analysis
This module focuses on extracting and manipulating data from relational databases. You'll gain proficiency in SQL syntax, data types, and operators, covering DDL, DML, DCL, DQL, and TCL statements.
Key topics include SELECT, WHERE, ORDER BY, JOINs (Inner, Left, Right, Full), Grouping & Aggregations (GROUP BY, HAVING), Subqueries, CTEs, and an introduction to Window Functions. You'll also learn to create Views and Indexes.
SQL Case Studies
Hospital Patient Visit and Treatment Summary
Analyze patient data to summarize visits and treatment outcomes.
Finance Budgeting and Expense Report System
Develop a system for tracking budgets and generating expense reports.
Airline Ticket Booking and Cancellation Analysis
Examine booking and cancellation patterns for airline tickets.
Module 3: Python for Data Analysis
Develop strong coding and analytical skills using Python. This module covers Python basics, working with libraries like pandas, numpy, matplotlib, and seaborn. You'll learn data cleaning, transformation, and Exploratory Data Analysis (EDA).
Topics include handling dates, missing values, outliers, and an intro to Plotly for interactive charts. You'll also practice reading data from Excel and CSV, and connecting Python with SQL for comprehensive data workflows.
Python Case Studies
1
Airbnb Listings Analysis in Major Cities
Conduct EDA on Airbnb data to uncover trends and insights.
2
Indian Tourism
Analyze tourism data to understand patterns and opportunities.
3
EDA on IPL Cricket Player Performance Dataset
Explore cricket player performance data for key insights.
4
Traffic Accident Analysis in Indian Cities
Investigate traffic accident data to identify causes and solutions.
5
Rented Bike Seoul Sharing Demand and Weather Impact
Analyze bike sharing demand in Seoul and its correlation with weather.
Module 4: Power BI
Introduction to Power BI
Understand Power BI Desktop vs Service, interface, and ecosystem components.
Connecting Data Sources
Import data from Excel, CSV, SQL, Web APIs, and understand query modes.
Data Transformation
Use Power Query Editor for cleaning, merging, and custom columns with M language.
Data Modeling
Learn relationships, schemas (Star/Snowflake), and key setups for data integrity.
Visualizations
Create diverse charts, tables, KPIs, and maps for compelling data stories.
Filters and Interactivity
Implement filters, slicers, drill-downs, and bookmarks for dynamic reports.
DAX Fundamentals
Dive into Data Analysis Expressions (DAX) to create calculated columns and measures. Master syntax for SUM(), AVERAGE(), COUNT(), and IF() to perform complex calculations.
Explore Time Intelligence functions like TOTALYTD() and SAMEPERIODLASTYEAR() for time-based analysis. Understand filtering and conditional logic with CALCULATE(), FILTER(), and SWITCH(). Learn about Row Context vs Filter Context and aggregation functions like SUMX() and RANKX().
Power BI Case Studies
Logistics and Supply Chain Analytics
Optimize supply chain operations through data-driven insights.
Insurance Claims Analysis Dashboard
Analyze insurance claims data to identify trends and improve processes.
Public Health and Vaccination Insights
Gain insights into public health data, including vaccination trends.
E-Commerce Sales Dashboard
Track and analyze e-commerce sales performance for strategic decisions.
Energy Consumption Monitoring Dashboard
Monitor and optimize energy consumption with detailed dashboards.
Capstone Projects & Career Prep
The Capstone Projects module allows you to apply all acquired skills in real-world business scenarios. Projects include a Retail Sales Dashboard (Excel + Power BI), Customer Segmentation (Python + SQL), Zomato Sales Report (Data Cleaning + SQL + Power BI), HR Analytics Dashboard, and Marketing Campaign Analysis.
Deliverables include code files, Power BI dashboards, reports, and presentations. You'll also learn Git & GitHub for version control and receive comprehensive resume & interview preparation for Data Analyst roles. The program includes 15+ total projects and 5 integrated industry-level case studies.
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