Data Science Integration with SQL Server, Python, and Power BI

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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
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