Course Syllabus
Download SyllabusModule 1: Core Python
- Introduction to Python programming: syntax, variables, and data types
- Control structures: loops, conditionals, and error handling
- Functions, modules, and packages for code reusability
- Object-Oriented Programming (OOP) concepts: classes, objects, inheritance, and polymorphism
- Working with Python libraries for data handling and basic analytics
Module 2: Pandas Functions
- Data manipulation: filtering, sorting, and indexing datasets
- Handling missing data, duplicates, and inconsistent records
- Grouping, merging, concatenating, and pivoting datasets
- Exploratory Data Analysis (EDA) and statistical operations
- Time series analysis and working with large datasets
Module 3: SQL & Advanced SQL Functions
- Writing basic and complex SQL queries
- Using joins, subqueries, aggregations, and nested queries
- Window functions, indexing, and query optimization
- Managing relational databases and integrating SQL with Python for analytics
- Real-time dataset querying and performance analysis
Module 4: Excel Processing
- Data cleaning and transformation using formulas and functions
- Pivot tables, charts, and conditional formatting
- Creating dynamic dashboards and reports
- Data validation and automation using macros
- Integration of Excel with Python and SQL for advanced analytics
Module 5: Power BI
- Introduction to Power BI and its interface
- Building interactive dashboards, reports, and KPIs
- Data modeling, relationships, and DAX formulas
- Data visualization best practices and storytelling
- Connecting Power BI to various data sources (SQL, Excel, APIs)
Module 6: Visualizations
- Creating charts, graphs, and plots using Python libraries and Power BI
- Understanding different types of visualizations for different data
- Data storytelling and presenting actionable insights
- Customizing visualizations for dashboards and reports
- Best practices for effective communication of data insights
The Data Analysis Course Syllabus at SLA Institute is really helpful. It teaches people the skills they need to analyze and visualize data. The Data Analysis Course Syllabus at SLA Institute has hands-on training and real projects that students work on. This helps students get ready for jobs like Data Analyst and Business Analyst. The Data Analysis Course Syllabus at SLA Institute supports people who want to have a career, in the data analytics field.
