Advanced Data Analytics
4-6 months
Overview
This course is designed for learners who want to advance beyond spreadsheets and build professional data analytics skills using industry-standard tools. Over 4 months, you'll learn how to analyze, clean, visualize, and interpret complex datasets using Python, NumPy, Pandas, SQL, and Power BI. Through hands-on projects and real-world case studies, you'll explore data transformation, exploratory data analysis (EDA), interactive dashboards, business intelligence, and AI-assisted analytics. By the end of the course, you'll be able to automate data workflows, create insightful reports and dashboards, solve real business problems using data, and build a professional portfolio that prepares you for roles such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, or Business Analyst. Whether you're upgrading your existing skills or aiming for a career in analytics, this course provides the practical experience and confidence needed to work with data in today's AI-driven world.
Course Curriculum
- Python Programming for Data Analytics
- Introduction to Python & Jupyter Notebook
- Variables, Data Types & Operators
- Conditional Statements & Loops
- Functions & Modules
- Lists, Tuples, Dictionaries & Sets
- File Handling & Exception Handling
- NumPy & Pandas
- Introduction to NumPy Arrays
- Working with Pandas DataFrames
- Data Import & Export
- Data Cleaning & Transformation
- Filtering, Sorting & Grouping Data
- Merging & Reshaping Data
- Data Visualization with Python
- Introduction to Data Visualization
- Matplotlib Basics
- Seaborn for Statistical Charts
- Interactive Visualizations with Plotly
- Visualization Best Practices
- Exploratory Data Analysis (EDA)
- Understanding Exploratory Data Analysis
- Descriptive Statistics
- Identifying Trends & Patterns
- Correlation & Outlier Analysis
- Feature Relationships & Insights
- Advanced SQL
- Advanced Joins & Subqueries
- Common Table Expressions (CTEs)
- Window Functions
- Views & Indexes
- Query Optimization Techniques
- Power BI
- Introduction to Power BI
- Power Query & Data Transformation
- Data Modeling & Relationships
- Creating Interactive Reports
- DAX Fundamentals
- Dashboards & Report Publishing
- Business Analytics
- Key Performance Indicators (KPIs)
- Sales & Marketing Analytics
- Financial & HR Analytics
- Customer & Product Analytics
- Forecasting & Business Decision Making
- AI for Data Analytics
- Using AI with Python & Power BI
- AI-assisted Data Analysis
- Automating Reports & Dashboards
- Generating Insights with AI
- Advanced Prompt Engineering
- Capstone Projects & Case Studies
- Retail Sales Dashboard
- Customer Churn Analysis
- HR Analytics Dashboard
- Healthcare Data Analysis
- Financial Performance Dashboard
- End-to-End Data Analytics Project
- Career Readiness
- Building a Professional Portfolio
- GitHub & Kaggle Fundamentals
- Resume & Interview Preparation
- Industry Best Practices & Career Opportunities