Description
The Data Analytics & Visualization Course provides comprehensive training in Python with a focus on its integration with Power BI for analytics and visualization. Participants will develop expertise in Python programming techniques tailored for Power BI, enabling them to design intelligent analytics and interactive visualizations.
- Python Fundamentals: Establish a solid foundation in Python programming by covering essential concepts such as syntax, data structures, and control flow, with an emphasis on analytical applications.
- Data Science Libraries: Master essential Python libraries like NumPy, Pandas, and Matplotlib for efficient data manipulation, analysis, and preparation for analytical tasks.
- Power BI: Learn to use Microsoft’s business analytics tool to connect to diverse data sources, transform data, and create interactive dashboards and reports. Explore its powerful visualizations, AI-driven insights, and seamless integration within the Microsoft ecosystem, utilizing components like Power BI Desktop, Service, and Mobile to support data-driven decision-making for organizations of all sizes.
What You’ll Learn
- Python for Data Analytics: Develop proficiency in Python programming for data manipulation, analysis, and visualization using libraries like NumPy, Pandas, and Matplotlib.
- Power BI Integration: Learn to connect Python with Power BI to enhance analytics workflows and create custom visualizations.
- Data Transformation: Master data cleaning, preprocessing, and transformation techniques to prepare datasets for analysis.
- Interactive Dashboards: Build dynamic and interactive dashboards and reports using Power BI to support insightful decision-making.
- AI-Powered Insights: Leverage Power BI’s AI-driven capabilities to uncover trends, patterns, and predictive insights.
- End-to-End Analytics: Gain hands-on experience in the complete data analytics pipeline, from data acquisition to visualization and reporting.
- Microsoft Ecosystem: Understand how to seamlessly integrate Power BI with other Microsoft tools like Excel, Azure, and SharePoint for streamlined workflows.
By the end of the course, participants will confidently create intelligent, interactive analytics and visualizations to drive impactful business decisions.
English