• What is Data Analytics?
• Importance of data in business
• Overview of the analytics process: Descriptive, Diagnostic, Predictive, and Prescriptive
• Data Types and Sources
• Structured vs Unstructured Data
• Internal vs External Data Sources
• Data-Driven Decision Making
• Using data to inform business decisions
• Case studies

• Definition of ETL
• Importance of ETL in data integration and data warehousing
• Real-world ETL use cases
• Overview of ETL tools (e.g., Informatica, Talend, Apache Nifi, Pentaho)
• Data Extraction
• Types of data sources (databases, files, APIs, cloud storage, etc.)
• Structured vs. unstructured data
• Extraction methods:
• Full extraction
• Incremental extraction
• Database connectivity (ODBC, JDBC, API connections)
• Extracting from different sources (SQL, NoSQL, flat files, web services)

• Introduction to SQL
• Overview of relational databases (MySQL, SQL Server, PostgreSQL, etc.)
• SQL vs NoSQL databases
• Data Retrieval with SQL
• SELECT, FROM, WHERE: Basic data queries
  • Filtering with conditions (AND, OR, NOT)
• Sorting and limiting results with ORDER BY and LIMIT
• Joins and Data Integration
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN: Combining data from multiple tables
  • Cross Joins and Self Joins
• Aggregating Data
  • GROUP BY and HAVING for data summarization
  • Using aggregate functions (COUNT, SUM, AVG, MIN, MAX)
• Advanced SQL

Subqueries and Nested Queries
Window Functions for advanced analytics (ROW_NUMBER, RANK, etc.)
Common Table Expressions (CTEs)
Data Manipulation

• INSERT, UPDATE, DELETE: Modifying data in tables
• Views
• Creating and managing virtual tables for reusable queries
• Connecting SQL to Power BI
• Using SQL queries to import data into Power BI

 Project-1: Capstone Project – SQL

• Introduction to Power BI
• What is Power BI? Overview of its components (Power BI Desktop, Service, Mobile)
• Setting up the Power BI environment
• Data Import and Transformation
• Connecting to different data sources (Excel, CSV, SQL, etc.)
• Data loading and extraction from databases (SQL, cloud services)
• Data transformation using Power Query (cleaning, shaping, merging data)
• Creating Data Models
• Understanding Power BI’s data model
• Creating relationships between tables
• Defining calculated columns and measures
• Using DAX (Data Analysis Expressions) for advanced calculations
• Building Visualizations
• Overview of built-in Power BI visuals (Bar Charts, Line Charts, Pie Charts, etc.)
• Customizing visualizations (formatting, tooltips, slicers)
• Creating interactive dashboards
• Filters and slicers for dynamic data exploration
• Publishing Reports
• Publishing reports to Power BI Service
• Sharing reports and dashboards

• Advanced DAX (Data Analysis Expressions)
• Complex calculations using DAX (CALCULATE, IF, SWITCH, etc.)
• Time intelligence functions (Year-to-Date, Month-over-Month comparisons)
• Hierarchies and Drill-through
• Creating data hierarchies for drilling down into data
• Using Drill-through reports for detailed data analysis

Project-2: Capstone Project using Power BI

• Exploratory Data Analysis (EDA)
• Identifying key patterns and insights in data
• Detecting outliers, missing values, and data anomalies
• Descriptive Analytics
• Summarizing data using statistical measures (mean, median, mode, etc.)
• Creating summary reports in Power BI
• Predictive Analytics with Power BI
• Advanced Power BI Customizations
• Using Power BI themes and custom visuals

Project-3: Capstone Project – Using SQL, Data Analytics and Power BI

Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.

The trainer is a certified consultant and has significant amount of experience in working with the technology.

Yes, we accept payments in two installments.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.