Duration: 5 days – 35 hrs.
Overview
Welcome to the Discovering Data Analytics using SQL Server training course! This comprehensive program is designed to equip you with the skills and knowledge needed to harness the power of data analytics using SQL Server. Whether you’re a novice in the world of databases or a seasoned professional seeking to deepen your data analysis capabilities, this course will guide you through the process of extracting valuable insights from complex datasets using SQL queries, functions, and advanced analytical tools. Through hands-on exercises, real-world case studies, and collaborative projects, you’ll learn to transform raw data into actionable intelligence that drives informed decision-making.
5-day course outline for a comprehensive SQL Server course focused on data analytics, including data cleaning and Extract, Transform, Load (ETL) using SQL Server Integration Services (SSIS). This outline provides more time for in-depth exploration of each topic. Feel free to adapt it as needed.
Objectives
- Understand the fundamentals of data analytics and its role in business decision-making.
- Effectively use SQL Server for data extraction, transformation, and analysis.
- Perform advanced SQL queries to explore and manipulate complex datasets.
- Apply statistical and analytical functions to gain insights from data.
- Develop the skills necessary for more advanced data analytics and database management.
Audience
- Professionals seeking to enhance their data analytics skills using SQL Server.
- Analysts, database administrators, and decision-makers aiming to leverage data for insights.
- Individuals interested in mastering SQL for data extraction, transformation, and analysis.
Pre- requisites
- Basic familiarity with databases and SQL concepts is recommended but not required.
- No prior experience with SQL Server or data analytics is necessary.
Course Content
Topic 1: Introduction to SQL Server and Database Concepts
Morning Session:
- Introduction to Relational Databases and SQL Server
- Understanding Database Objects: Tables, Views, Indexes, and Relationships
- Installing SQL Server and SQL Server Management Studio (SSMS)
Afternoon Session:
- Basic SQL Queries: SELECT, FROM, WHERE, ORDER BY
- Aggregating Data: GROUP BY, HAVING
- Hands-on Exercise: Writing and Executing SQL Queries
Topic 2: Data Cleaning and Transformation with SQL
Morning Session:
- Identifying Data Quality Issues
- Cleaning Techniques: Removing Duplicates, Handling Nulls, Data Type Conversion
- Using SQL Functions for Data Cleaning
Afternoon Session:
- Text and String Manipulation Functions
- Date and Time Functions for Data Cleaning
- Advanced SQL Transformations: CASE, COALESCE, NULLIF
- Hands-on Exercise: Advanced Data Cleaning and Transformation Using SQL
Topic 3: Introduction to SQL Server Integration Services (SSIS) Basics
Morning Session:
- Introduction to ETL and SSIS
- SSIS Components and Control Flow Tasks
- Building Simple SSIS Packages
Afternoon Session:
- Data Sources and Data Destinations in SSIS
- Data Flow Transformations: Derived Column, Conditional Split, Lookup
- Error Handling and Logging in SSIS
- Hands-on Exercise: Creating Basic SSIS Packages for Data Extraction and Transformation
Topic 4: Advanced SSIS Techniques for ETL
Morning Session:
- Handling Slowly Changing Dimensions (SCDs) with SSIS
- Using SSIS Variables and Expressions
- Advanced Data Flow Transformations: Pivot, Unpivot, Merge Join
Afternoon Session:
- Advanced Control Flow: Containers, Expressions, Precedence Constraints
- Configuring and Deploying SSIS Packages
- Introduction to Package Deployment and Execution
- Hands-on Exercise: Building Complex SSIS Packages for Data Transformation and Loading
Topic 5: Advanced ETL and Data Cleaning with SSIS
Morning Session:
- Working with Flat Files and Excel Data Sources in SSIS
- Handling Data Quality and Validation with SSIS
- Using Script Tasks and Components in SSIS
Afternoon Session:
- Introduction to SSIS Scripting with C# or VB.NET
- Custom ETL and Data Cleaning Logic with Script Tasks
- Package Security and Best Practices
- Hands-on Exercise: Advanced ETL and Data Cleaning Scenarios Using SSIS
Topic 6: Data Analytics and SQL for Analysis
Morning Session:
- Introduction to Data Analytics with SQL
- Writing Complex SQL Queries: Subqueries, Joins, Window Functions
- Creating and Managing Views
Afternoon Session:
- Introduction to Performance Tuning and Optimization
- Advanced Analytics: Ranking, Partitioning, Analytic Functions
- Generating Reports with SQL Queries
- Hands-on Exercise: Analyzing Data Trends and Patterns Using SQL
Topic 7: Final Projects and Recap
Morning Session:
- Participants Present Their Final Projects
- Q&A and Recap of Key Concepts
- Review of Best Practices in SQL and SSIS
Afternoon Session:
- Practical Tips for Real-world Data Analytics Projects
- Open Discussion and Knowledge Sharing
- Course Evaluation and Certificates Distribution
- This comprehensive 5-day course outline allows participants to dive deep into SQL Server, data cleaning, and ETL using SSIS, while also providing time for hands-on exercises and project work. The combination of theoretical knowledge and practical application will help participants develop a strong foundation in data analytics using SQL Server tools.
