Udemyintermediateen

Data Analysts Toolbox: Excel, Python, Power BI, PivotTables

Master data analysis! This bundle covers Pivot Tables, Power Query, Power Pivot, Power BI & Python. Unlock powerful insights.

4.5(3,163)
19,230students
29h 7m
Certificate
Simon Sez IT
Simon Sez IT990,000+ Students, 300+ Courses, Learners in 180+ Countries

Course Content

Data Analysts Toolbox: Excel, Python, Power BI, PivotTables is an intermediate-level Udemy course taught by Simon Sez IT. It runs 29h 7m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 3,163 reviews, with 19,230 students enrolled. It is a paid course, last updated January 2024.

Unlock Your Data Potential: Data Analysts Toolbox – Excel, Python & Power BI

In today's business landscape, data analysis skills are no longer limited to specialized analysts. Becoming proficient with data is increasingly vital for a wide range of roles. Feeling overwhelmed? This comprehensive Data Analysts Toolbox bundle provides the accessible tools you need to confidently navigate the world of data.

This valuable four-course bundle focuses on three powerful and practical tools: Excel, Python, and Power BI. While each tool is valuable on its own, mastering all three significantly enhances your ability to perform complex data analysis and gain deeper insights.

This bundle is designed for intermediate Excel users who are new to Python and Power BI. Each course features hands-on practice exercises to solidify your learning.

Course Breakdown:

Introduction to Python:

  • Python Basics: Learn fundamental data types including Strings, Integers, Floats, and Booleans.
  • Core Concepts: Understand Python's built-in functions, variables, and how functions work.
  • Debugging: Master error handling and debugging techniques in Python.
  • Keywords & Control Flow: Explore Python keywords and utilize IF-Else statements.
  • Data Structures: Learn to store and manipulate complex data using Lists and Dictionaries.
  • Modules & Installation: Discover Python modules and how to install them locally.
  • Scripting: Write your first Python script and build your first Python project.

Advanced Excel for Data Analysis:

  • PivotTable Mastery: A comprehensive deep dive into PivotTables, including refreshers, combining data from multiple worksheets, grouping, and error handling.
  • PivotTable Formatting: Learn to format PivotTables for clear and professional presentation.
  • Advanced Sorting & Filtering: Utilize Slicers, Timelines, and advanced filtering techniques.
  • Calculated Fields: Create custom calculations within your PivotTables.
  • GETPIVOTDATA: Extract specific data points from your PivotTables.
  • PivotCharts & Sparklines: Create dynamic visualizations with PivotCharts, sparklines, and slicers.
  • 3D Maps: Visualize data geographically using 3D Maps from PivotTables.
  • Data Updates & Conditional Formatting: Keep your data current and highlight key insights with conditional formatting.
  • Dashboard Design: Build compelling and informative data dashboards in Excel.

Power Pivot, Power Query & DAX:

  • Power Query Fundamentals: Get started with Power Query for data import and transformation.
  • Data Connectivity: Connect Excel to multiple workbooks and external data sources (web, etc.).
  • Data Merging & Appending: Merge and append data using Power Query.
  • Power Pivot Data Modeling: Understand the Power Pivot window and manage relationships in your data model.
  • DAX (Data Analysis Expressions): Learn essential DAX functions like CALCULATE, DIVIDE, and DATESYTD.
  • Calculated Columns & Measures: Create calculated columns and measures using DAX.
  • Data Visualization: Build PivotCharts and PivotTables based on your data model.
  • Slicers & Interactions: Use slicers to filter data and control visualization interactions.

Power BI:

  • Power BI Overview: Understand the power and benefits of using Power BI for data visualization.
  • Data Import: Import data from CSV and Excel files into Power BI Desktop.
  • Data Transformation: Use Merge Queries to combine data from multiple sources.
  • Data Modeling: Create relationships between tables in your data model.
  • DAX in Power BI: Master DAX functions like COUTROWS, CALCULATE, and SAMEPERIODLASTYEAR.
  • Visualizations: Create compelling visuals using cards, clustered column charts, maps, trend graphs, and more.
  • Report Formatting: Use themes to format reports consistently and quickly.
  • Interactive Reports: Control visualization interactions at the visualization, page, and report levels.

Includes Exercise and Demo Files & Project Files

What You Get:

  • 21+ hours of video tutorials
  • 200+ individual video lectures
  • Downloadable exercise files
  • Certificate of Completion

What Our Students Are Saying:

"The instructors have explained everything amazing and the resources are super helpful." - Oscar

"This course is very relevant in my line of work. The facilitators are detailed in their explanation & don't rush through the information." - Thulani

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