Master SQL & Python with a Data Analyst – Real Projects, Personalized Coaching, and Career-Focused Training

Details

# SQL Course Content

**Module 1: Foundations of SQL**
- Understanding databases, tables, and relational database concepts
- SELECT statements, filtering with WHERE, and sorting with ORDER BY
- Using DISTINCT, LIMIT, and basic operators

**Module 2: Advanced Filtering & Functions**
- Logical operators (AND, OR, NOT), IN, BETWEEN, and LIKE with wildcards
- String, date, and mathematical functions for data transformation

**Module 3: Joins & Relationships**
- INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and SELF JOIN
- Combining multiple tables and handling duplicate records

**Module 4: Grouping & Aggregation**
- GROUP BY, HAVING, and aggregate functions (COUNT, SUM, AVG, MIN, MAX)
- Rolling calculations and summary reports

**Module 5: Subqueries & CTEs**
- Nested queries, correlated subqueries, and Common Table Expressions (WITH clause)

**Module 6: Window Functions**
- ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG, and moving averages

**Module 7: Query Optimization**
- Indexing, execution plans, and writing efficient, performant queries

**Module 8: Real-World Projects**
- Sales dashboards, customer churn analysis, and financial reporting

# Python Course Content

**Module 1: Python Fundamentals**
- Variables, data types, operators, and type conversion
- Lists, tuples, dictionaries, and sets

**Module 2: Control Flow**
- Conditional statements (if, elif, else) and loops (for, while)
- List comprehensions and iteration techniques

**Module 3: Functions & Error Handling**
- Defining and calling functions, arguments, return values, and scope
- Try-except blocks and debugging strategies

**Module 4: File Handling & Data Import**
- Reading/writing CSV, Excel, JSON, and text files

**Module 5: NumPy for Numerical Computing**
- Arrays, vectorized operations, broadcasting, and mathematical functions

**Module 6: Pandas for Data Manipulation**
- Series and DataFrames, filtering, grouping, merging, and pivoting
- Handling missing data and data cleaning techniques

**Module 7: Data Visualization**
- Matplotlib and Seaborn for creating line charts, bar charts, histograms, and heatmaps

**Module 8: Capstone Projects**
- End-to-end data analysis pipeline: extract, transform, visualize, and present insights

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# Competitive Pricing (Bundle Offer)

**"Why pay separately when you can master both SQL and Python together at a bundled rate? I offer a special discount when you enroll in both courses—because data skills work best in tandem. SQL helps you extract and manage data, while Python empowers you to analyze, visualize, and automate. Learning them together saves you time, money, and gives you a complete toolkit that employers actively seek. This isn't just a course—it's a career investment at a price that makes sense for your pocket."**

# Career Security

**"SQL and Python aren't just trending skills—they're the backbone of every data-driven organization worldwide. From startups to tech giants, healthcare to finance, companies are desperate for professionals who can query databases and analyze data programmatically. These skills won't become obsolete; they'll only grow in demand as AI and automation advance. By mastering both, you're not just learning tools—you're future-proofing your career. You'll be the person who can speak the language of data, automate repetitive tasks, and deliver insights that drive business decisions. That's job security you can count on, no matter what the economy throws your way."**