Data Analytics Course Syllabus
The curriculum of the Data Analytics Course at the SLA Institute is designed to help novices and experts build a strong foundation in factual analysis with a grade percentage. It contains practical lessons ranging from simple ideas to step-by-step actions to better techniques. This course covers key areas, including information, data cleaning, fact visualization, SQL, Excel, Python, Tableau, exploratory statistical analysis (EDA), trying to guess, regression estimation, and systems testing, to help inexperienced individuals learn how to use data for better business decisions.
Course Syllabus
Download SyllabusModule 1: Core Python for Data Analytics
- Python fundamentals: syntax, variables, and data types
- Control structures: loops, conditionals, and error handling
- Functions, modules, and reusable code practices
- Object-Oriented Programming (OOP) concepts
- Working with Python libraries for data handling and analysis
Module 2: Data Analysis Using Pandas
- Data cleaning, filtering, sorting, and indexing
- Handling missing values, duplicates, and inconsistent data
- Grouping, merging, concatenation, and pivot operations
- Exploratory Data Analysis (EDA) and statistical computations
- Time-series analysis and working with large datasets
Module 3: SQL & Advanced SQL for Analytics
- Writing basic to advanced SQL queries
- Joins, subqueries, aggregations, and nested queries
- Window functions, indexing, and query optimization
- Working with relational databases
- Integrating SQL with Python for analytics use cases
Module 4: Excel for Data Processing
- Data cleaning and transformation using formulas
- Pivot tables, charts, and conditional formatting
- Creating dynamic dashboards and reports
- Data validation and automation techniques
- Integrating Excel with SQL and Python for analytics
Module 5: Power BI for Business Intelligence
- Power BI fundamentals and interface
- Building interactive dashboards, reports, and KPIs
- Data modeling, relationships, and DAX functions
- Visualization best practices and storytelling
- Connecting Power BI with multiple data sources
Module 6: Data Visualization & Storytelling
- Creating charts and visualizations using Python and Power BI
- Selecting the right visualization for different data types
- Data storytelling and insight presentation
- Customizing dashboards and reports
- Communicating insights effectively to stakeholders
The syllabus for the Data Analytics Course at SLA Institute is prepared considering the latest demands of the industry which enable the learners to attain the complete knowledge of data analytics. This comprehensive syllabus will guide them and help them develop deep skills, gradually progressing toward a data analytics career with confidence.
