Power BI Advanced Analytics With Python

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Why Attend

Understand the integration of Python scripts within Power BI to unlock advanced analytical capabilities through McTimothy Associates’ specialized course.

Power BI has revolutionized the way organizations analyze and visualize their data. This advanced course is designed to take participants’ Power BI skills to the next level by integrating Python for advanced analytics and data manipulation. Over the course of three days, participants will learn how to leverage Python scripts within Power BI to perform complex data analysis, predictive modeling, and machine learning. Through hands-on exercises and real-world case studies, participants will gain the knowledge and skills needed to unlock the full potential of Power BI for advanced analytics.

Event Date: 24/01/2024 – 26/01/2024

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Overview
Course Outline

Course Objectives:

After attending this class participants would be able to:

Master the integration of Python scripts within Power BI for advanced data analytics.
Learn how to perform data manipulation, transformation, and cleansing using Python in Power BI.
Understand advanced data visualization techniques using custom Python visuals in Power BI.
Develop proficiency in predictive modeling and machine learning algorithms using Python in Power BI.
Gain insights into best practices for optimizing performance and scalability of Power BI models with Python integration.
Explore real-world case studies and practical examples of advanced analytics solutions using Power BI and Python.
Enhance problem-solving and critical thinking skills through hands-on exercises and group discussions.
Apply learned concepts and techniques to address complex data challenges in their own organizations.

Target Participants:

Data analysts and business intelligence professionals seeking to enhance their Power BI skills with advanced analytics capabilities.
Data scientists and data engineers interested in leveraging Python for data analysis and visualization within Power BI.
Business professionals involved in data-driven decision-making processes and strategic planning.
IT professionals responsible for implementing and managing Power BI solutions within their organizations.
Anyone interested in gaining advanced proficiency in Power BI and Python for data analytics.

Training Methodology:

Interactive lectures and presentations by subject matter experts in Power BI and Python.
Hands-on exercises and practical demonstrations to reinforce learning objectives.
Group discussions and brainstorming sessions to share insights and best practices.
Real-world case studies and examples to illustrate the application of Power BI and Python in advanced analytics.
Individual and group assignments to encourage active participation and engagement.
Q&A sessions and peer-to-peer learning opportunities to address specific questions and challenges.

Target Competencies:

Proficiency in Power BI data modeling, visualization, and reporting.
Advanced data manipulation and transformation skills using Python.
Knowledge of predictive modeling and machine learning algorithms.
Ability to integrate Python scripts and custom visuals within Power BI.
Problem-solving and critical thinking skills for addressing complex data challenges.
Effective communication and collaboration skills for working in cross-functional teams.
Understanding of best practices for optimizing performance and scalability of Power BI models.
Application of learned concepts and techniques to real-world scenarios in data analytics and business intelligence.

Course Outlines

Day 1: Introduction to Power BI Advanced Analytics With Python

Morning Session:

Overview of Power BI Advanced Analytics
Introduction to Python Integration in Power BI
Setting Up Python Environment in Power BI
Data Preparation and Cleaning Using Python Scripts

Afternoon Session:

Advanced Data Visualization with Python Visuals in Power BI
Introduction to Predictive Modeling and Machine Learning in Power BI
Hands-On Exercise: Building Python Scripts for Data Analysis and Visualization in Power BI

Day 2: Advanced Data Analysis Techniques

Morning Session:

Advanced Data Manipulation and Transformation Using Python in Power BI
Introduction to Statistical Analysis and Hypothesis Testing with Python
Time Series Analysis and Forecasting Techniques with Python in Power BI

Afternoon Session:

Advanced Predictive Modeling Techniques with Python in Power BI
Introduction to Machine Learning Algorithms and Model Evaluation
Hands-On Exercise: Building Predictive Models Using Python in Power BI

Day 3: Optimization and Performance Tuning

Morning Session:

Best Practices for Optimizing Performance and Scalability in Power BI with Python
Introduction to Advanced Power Query Techniques for Python Integration
Working with External Data Sources and APIs in Power BI with Python

Afternoon Session:

Real-World Case Studies and Examples of Advanced Analytics Solutions Using Power BI and Python
Group Project: Applying Learned Concepts to Solve a Complex Data Challenge
Presentation and Discussion of Group Projects

Closing Remarks and Certificate Presentation

Throughout the course, participants will engage in hands-on exercises, group discussions, and real-world case studies to apply learned concepts and techniques. By the end of the training, participants will have the knowledge and skills to leverage Python for advanced analytics within Power BI, enabling them to drive data-driven decision-making and achieve business objectives effectively.