Duration 5 days -35 hrs.
Overview.
The “Data Science Integration with SQL Server, Python, and Power BI Training” is a comprehensive program designed to equip participants with the skills and knowledge required to seamlessly integrate data science tools and technologies into their data analysis and reporting workflows. This course provides a holistic understanding of how to leverage SQL Server, Python, and Power BI to extract, analyze, and visualize data effectively, making informed business decisions.
Objectives
- Understand Data Science Fundamentals: Grasp the core concepts of data science, its importance, and the role it plays in data-driven decision-making.
- Leverage SQL Server for Data Management: Master the use of SQL Server to extract, transform, and store data efficiently.
- Perform Data Preprocessing with Python: Acquire skills in data preprocessing using Python, including data cleansing and transformation.
- Implement Statistical Analysis: Apply statistical analysis techniques to gain insights from data and make informed decisions.
- Utilize Machine Learning with Python: Build and deploy machine learning models for predictive analytics and decision support.
- Create Data Visualizations with Power BI: Develop interactive and visually compelling reports and dashboards using Power BI.
- Combine SQL Server, Python, and Power BI: Seamlessly integrate these tools to create end-to-end data analysis and reporting workflows.
- Automate Data Workflows: Implement data automation using SQL Server Integration Services (SSIS) and custom Python scripts for specific tasks.
- Ensure Data Security and Compliance: Implement data security best practices and adhere to regulatory compliance requirements.
- Optimize Performance and Scalability: Optimize data retrieval, analysis, and processing for enhanced performance and scalability.
Audience
- Data Analysts: Data analysts aiming to expand their skill set and transition into more advanced data science roles involving SQL Server, Python, and Power BI.
- Data Scientists: Data scientists who want to enhance their proficiency in integrating data science tools and technologies for more comprehensive data analysis and visualization.
- Business Intelligence Professionals: Business intelligence professionals looking to gain advanced insights and create interactive dashboards using Power BI and Python.
- Database Administrators: Database administrators interested in optimizing data retrieval and data management with SQL Server and Python integration.
- IT Professionals: IT personnel, including system administrators and developers, who want to implement data science integration solutions and automation.
- Business Analysts: Business analysts eager to leverage SQL Server, Python, and Power BI for improved decision support and reporting.
- Data Enthusiasts: Individuals who have a passion for data and are looking to gain practical experience in data science integration.
- Advanced Students and Graduates: College and university students in data-related fields and recent graduates interested in honing their data science skills.
Pre- requisites
- Basic knowledge of SQL and data concepts is recommended.
- Familiarity with Python programming is beneficial but not mandatory.
Course Content
Topic 1: Introduction to Data Science, SQL Server, and Python
- Introduction to Data Science and its Importance
- Overview of SQL Server and its Role in Data Science
- Installing SQL Server and SQL Server Management Studio (SSMS)
- Basic SQL Server Database Operations
- Basic Python Scripting for Data Analysis with SQL Server
Topic 2: Advanced SQL Server Database Operations with Python
- Working with Views and Indexes
- Data Manipulation with SQL (INSERT, UPDATE, DELETE)
- Joins and Subqueries
- Aggregate Functions
- Advanced Python Scripting for Data Analysis in SQL Server
Topic 3: Introduction to Data Visualization with Power BI
- Introduction to Power BI and its Role in Data Visualization
- Installing Power BI Desktop
- Data Sources and Data Transformation
- Creating Visualizations in Power BI
Topic 4: Advanced Data Visualization with Power BI
- Advanced Data Modeling in Power BI
- Custom Measures and Calculations with DAX
- Working with Time Intelligence Functions
- Power BI Advanced Visualizations
- Integrating Data from SQL Server with Power BI
Topic 5: Data Integration and Transformation
- Introduction to ETL (Extract, Transform, Load) Processes
- Connecting Power BI to SQL Server Databases
- Data Transformation and Cleansing in Power Query
- Combining Data from Multiple Sources in Power BI
Topic 6: Advanced Data Science with SQL Server and Python
- Introduction to Machine Learning with SQL Server
- Building Predictive Models with SQL Server
- Deploying Models in SQL Server
- Integrating Python for Advanced Data Analysis in SQL Server
