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

In business, being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid analysts. It's becoming an essential part of many roles.

If that sounds daunting, don't worry. There is a growing set of tools designed to make data analysis accessible to everyone, in this huge-value, four-course Data Analysts Toolbox bundle we look in detail at three of those tools: Excel, Python, and Power BI.

In isolation Excel, Python, and Power BI are useful and powerful. Learn all three and you are well on your way to gaining a much deeper understanding of how to perform complex data analysis.

This Data Analysts Toolbox bundle is aimed at intermediate Excel users who are new to Python and Power BI. All courses include practice exercises so you can put into practice exactly what you learn.

Here's what each course covers:

Introduction to Python

The basic data types in Python - Strings, Integers, Floats, and Boolean
All about Pythons built-in functions
How Variables and Functions work in Python
How to debug errors in Python
All about Python Keywords
How to use IF-Else Statements in Python
All about storing complex data, including Lists and Dictionaries
All about Python Modules and how to install them
How to install Python locally
How to write your first script in Python
To complete your first Python project

Advanced PivotTables

How to do a PivotTable (a quick refresher)
How to combine data from multiple worksheets for a PivotTable
Grouping, ungrouping and dealing with errors
How to format a PivotTable, including adjusting styles
How to use the Value Field Settings
Advanced Sorting and Filtering in PivotTables
How to use Slicers, Timelines on multiple tables
How to create a Calculated Field
All about
To import CSV and Excel files into Power BI Desktop.
How to use Merge Queries to fetch data from other queries.
How to create relationships between the different tables of the data model.
All about DAX including using the
All about using the card visual to create summary information.
How to use other visuals such as clustered column charts, maps, and trend graphs.
How to use Slicers to filter your reports.
How to use themes to format your reports quickly and consistently.
How to edit the interactions between your visualizations and filter at visualization, page, and report level.

Exercise and demo files and project files included

This mega-value bundle includes:

21+ hours of video tutorials
200+ individual video lectures
Exercise files to practice what you learned
Certificate of completion

Here’s 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

"My name is Kenvis and I have a knowledge in IT but never thought of specializing in Data Analytics before. This was so exciting and I am now anxious to learn more."

- Kenvis

"Thank you for such a wonderful teaching. This is a great learning experience for me."

- Ankush

What's inside

Learning objectives

How to create amazing looking dashboards using pivot tables
Advanced data analysis techniques
How to do a pivottable (a quick refresher)
How to format a pivottable, including adjusting styles
Advanced sorting and filtering in pivottables
How to use 3d maps from a pivottable
How to update your data in a pivottable and pivot chart
Analyze huge buckets of data to make informed business decisions
Become confident cleaning, sorting and linking data from various sources
How to create stunning, interactive dashboards with power bi
How to share your analysis and dashboards using power bi online
To import csv and excel files into power bi desktop
All about dax including using the coutrows, calculate, and sameperiodlastyear functions
All about using the card visual to create summary information
How to create amazing visuals, such as clustered column charts, maps, and trend graphs

How to use slicers to filter your reports
How to edit the interactions between your visualizations and filter at visualization, page, and report level
Put their skills into practice with a real python project
What is python and why was it created
How python fits into the diverse ecosystem of programming languages.
The basic data types in python - strings, integers, floats, and boolean
All about pythons built-in functions
How to debug errors in python
How variables and functions work in python
How to use if-else statements in python
All about storing complex data, including lists and dictionaries
How to install python locally
How to write your first script in python
Show more
Show less

How to create amazing looking dashboards using pivot tables
Advanced data analysis techniques
How to do a pivottable (a quick refresher)
How to format a pivottable, including adjusting styles
Advanced sorting and filtering in pivottables
How to use 3d maps from a pivottable
How to update your data in a pivottable and pivot chart
Analyze huge buckets of data to make informed business decisions
Become confident cleaning, sorting and linking data from various sources
How to create stunning, interactive dashboards with power bi
How to share your analysis and dashboards using power bi online
To import csv and excel files into power bi desktop
All about dax including using the coutrows, calculate, and sameperiodlastyear functions
All about using the card visual to create summary information
How to create amazing visuals, such as clustered column charts, maps, and trend graphs
How to use slicers to filter your reports
How to edit the interactions between your visualizations and filter at visualization, page, and report level
Put their skills into practice with a real python project
What is python and why was it created
How python fits into the diverse ecosystem of programming languages.
The basic data types in python - strings, integers, floats, and boolean
All about pythons built-in functions
How to debug errors in python
How variables and functions work in python
How to use if-else statements in python
All about storing complex data, including lists and dictionaries
How to install python locally
How to write your first script in python
Show more
Show less

Syllabus

Advanced PivotTables: Introduction

Introduction to Advanced PivotTables

WATCH ME: Essential Information for a Successful Training Experience

DOWNLOAD ME: Course Exercise Files

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Excel, Python, and Power BI, which are essential tools for data analysis and visualization in various industries

Teaches advanced PivotTable techniques, enabling learners to create interactive dashboards and analyze large datasets efficiently

Explores Power BI, which is widely used for creating stunning visuals and sharing insights through online dashboards

Includes a Python project, allowing learners to apply their coding skills to real-world data analysis scenarios

Requires learners to have intermediate Excel skills, which may pose a challenge for complete beginners

Uses Power Query, which is available in Excel 2010 and later, so learners with older versions may face compatibility issues

Reviews summary

Essential data tools introduction

According to learners, this course provides a solid foundation in essential data analysis tools, covering Excel, Python, and Power BI. Many found the practical exercises and clear explanations particularly helpful, describing the course as a good value and an excellent starting point, especially for those new to Python and Power BI. However, some felt the course lacks depth in certain areas and felt rushed, suggesting it's better suited as an introduction rather than for achieving proficiency. There were also mentions that some content could be updated to reflect the latest software versions.

Hands-on activities solidify learning.

"The hands-on exercises were very useful. They helped solidify what I learned."

"I liked doing the mini projects provided in the course."

"Applying the concepts through the exercises made a real difference."

"Practice files were very helpful."

Instructors explain concepts well.

"The instructors explained concepts clearly, especially for someone new."

"Easy to follow demos and clear explanations."

"I appreciated the way the instructors broke down complex ideas."

Excellent starting point for beginners.

"This course gave me a solid foundation in Python and Power BI."

"Perfect starting point if you don't know where to begin with data analysis."

"Provided a great initial understanding of all three tools."

"Great intro to the data analysis world."

Some sections slightly outdated.

"Some parts of the Power BI interface looked slightly different from the current version."

"Python libraries also evolve quickly, some demos weren't exact matches."

"A refresh to align with the latest software versions would be helpful."

Some sections move too quickly.

"...Power BI felt very fast-paced and hard to keep up with at times."

"The Python part was fine, but Power BI seemed to rush through topics."

"I felt like some complex ideas were covered too briefly."

Good overview, but not advanced enough.

"While it covers a lot, it felt rushed... not enough for an intermediate user."

"It's a decent intro but definitely not enough to become proficient."

"Could use more in-depth coverage on complex topics, especially in Power BI."

"Wish it went deeper into Python libraries."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analysts Toolbox: Excel, Python, Power BI, PivotTables with these activities:

Review Basic Statistics Concepts

Show steps

Reinforce foundational statistical knowledge to better understand data analysis techniques used in Excel, Python, and Power BI.

Browse courses on Descriptive Statistics

Show steps

Review key statistical terms and concepts.
Work through practice problems on descriptive statistics.
Familiarize yourself with hypothesis testing procedures.

Brush Up on Excel Fundamentals

Show steps

Revisit essential Excel skills to ensure a solid foundation for advanced PivotTable techniques.

Browse courses on Excel Formulas

Show steps

Practice using common Excel formulas and functions.
Create basic charts and graphs to visualize data.
Review data validation techniques to ensure data quality.

Practice PivotTable Scenarios with Peers

Show steps

Collaborate with peers to solve PivotTable challenges and reinforce understanding of different features.

Show steps

Share sample datasets with each other.
Work through PivotTable exercises together.
Discuss different approaches to solving problems.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Follow Power BI Dashboard Tutorials

Show steps

Enhance Power BI skills by following step-by-step tutorials on creating interactive dashboards.

Show steps

Find tutorials on creating specific dashboard elements.
Replicate the steps in the tutorials using your own data.
Experiment with different visualizations and filters.

Review 'Python for Data Analysis' by Wes McKinney

Show steps

Deepen your understanding of Python data analysis techniques with a comprehensive guide.

View Python for Data Analysis on Amazon

Show steps

Read the chapters on Pandas and NumPy.
Work through the examples in the book.
Apply the techniques to your own datasets.

Analyze Public Datasets with Python

Show steps

Apply Python skills to analyze real-world datasets and gain practical experience in data manipulation and analysis.

Show steps

Find a public dataset of interest.
Use Python libraries like Pandas to clean and transform the data.
Perform exploratory data analysis and create visualizations.
Document your findings in a report or presentation.

Build a Power BI Dashboard for a Specific Business Problem

Show steps

Create a comprehensive Power BI dashboard to address a specific business problem and showcase your data analysis skills.

Show steps

Identify a business problem that can be solved with data analysis.
Gather relevant data from various sources.
Design and build an interactive Power BI dashboard.
Present your dashboard to stakeholders and gather feedback.

Career center

Learners who complete Data Analysts Toolbox: Excel, Python, Power BI, PivotTables will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst collects, processes, and analyzes data to provide insights. This course, with its focus on Excel, Python, and Power BI, is specifically designed to help you make the transition into the Data Analyst role. The content on using PivotTables, creating visualizations, and using Python for data manipulation are very relevant to the day-to-day activities of a data analyst. Learning how to write Python scripts will allow you to automate and streamline analysis further. The course will provide you with the tools for success as a Data Analyst.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

A Business Intelligence Analyst uses data to identify trends and insights that help organizations make better decisions. This role involves collecting, analyzing, and presenting data using tools like Excel, Python, and Power BI, all of which are covered in this course. Specifically, the course's content on Power BI, including how to import data, create relationships, and design interactive dashboards, directly relates to the work of a Business Intelligence Analyst. Learning how to use DAX functions and create visualizations also helps build a foundation in data analysis essential for this role. The techniques taught will enable you to effectively translate raw data into actionable strategies by creating data visualizations.

See salaries and explore the career path for Business Intelligence Analyst

Operations Analyst

An Operations Analyst analyzes operational data to improve efficiency and productivity. This role requires strong analytic skills with Excel, Python, and Power BI . The course content on using Power BI to create interactive dashboards, especially how to create summary cards and data visualizations is directly relevant for an operations analyst. The ability to perform data cleaning and transformation is also incredibly helpful. This course will equip you with the tools to leverage data to propose effective strategies with meaningful data displays.

See salaries and explore the career path for Operations Analyst

Business Analyst

Business Analysts identify problems and recommend solutions to improve business processes, often involving data analysis. The course helps you learn to use Excel, Python, and Power BI to extract insights from data; the course's focus on using PivotTables to analyze data is especially helpful for a Business Analyst. You will learn to present data through visualization and interactive dashboards that allow you to communicate your findings. The course emphasizes how to import data and create relationships between data models which helps build a foundation for this role. The course will assist you in your career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Reporting Analyst

Reporting Analysts create reports, dashboards, and other data visualizations to communicate insights to stakeholders. The course’s emphasis on Power BI is particularly helpful, as it will enable you learn how to create summary cards and interactive visualizations. Also, mastering PivotTables in Excel is useful for an analyst in this capacity. The ability to format these tools and use DAX is useful as well. This course is a great choice for anyone wanting to become a Reporting Analyst.

See salaries and explore the career path for Reporting Analyst

Data Visualization Specialist

A Data Visualization Specialist focuses on creating compelling and understandable visual representations of data. The course’s focus on using Power BI to build dashboards, along with creating charts and graphs in Excel using Pivot Tables, helps build a solid foundation to become a Data Visualization Specialist. You will learn how to use slicers to filter reports to produce high-impact visuals that facilitate data-driven decision-making. Learning how to edit interactions between the visuals at page level and visual level is crucial to produce interactive dashboards. The course will enable you to transform complex data sets into accessible visuals.

See salaries and explore the career path for Data Visualization Specialist

Marketing Analyst

A Marketing Analyst uses data to evaluate marketing campaigns and measure their effectiveness. This role requires the ability to analyze data, create reports, and present findings, and this is what this course teaches using Excel, Python, and Power BI. The course’s focus on creating interactive dashboards with Power BI is particularly useful for showcasing campaign performance. Learning how to manage large data sets is also beneficial. This course will enable you to leverage data to improve marketing strategies.

See salaries and explore the career path for Marketing Analyst

Financial Analyst

Financial Analysts leverage data to provide insights into financial performance and forecast future trends. This course's training in data analysis using Excel, specifically mastering PivotTables, is essential for working with financial data. The course also provides practice in data cleaning and presentation, which are applicable to working in this role. Learning Python can further your skill set to perform complex data analysis. You will be able to use this course to enhance your data skills to become an effective Financial Analyst.

See salaries and explore the career path for Financial Analyst

Sales Analyst

A Sales Analyst examines sales data to identify trends and opportunities for growth. This role requires the ability to perform data analysis, generate reports, and present findings, and this course teaches these skills. This course also teaches you how to effectively use Power BI to create interactive dashboards and summary cards. Moreover, learning how to create calculated fields in PivotTables will assist in tracking key sales performance metrics. This course will equip you with the necessary tools to become a Sales Analyst.

See salaries and explore the career path for Sales Analyst

Research Analyst

Research Analysts collect, analyze, and interpret data to support research projects. The course's focus on data analysis using Excel, Python, and Power BI is directly applicable to this role. The course's emphasis on data cleaning and transformation will assist you in developing reports. The section on creating interactive dashboards and visualizations in Power BI will assist in presenting findings. This course is a great fit for those wanting to start their career as a Research Analyst.

See salaries and explore the career path for Research Analyst

Market Research Analyst

Market Research Analysts study consumer behavior and market trends to advise business strategy. This role requires the ability to analyze market data, identify patterns, and present findings, skills that are taught with Excel, Python, and Power BI. The course's Power BI component, in particular, is useful to build interactive dashboards to communicate key findings. Learning how to create calculated fields in PivotTables will assist you in generating customized metrics. You will use this course to present data with more clarity and make strategic recommendations.

See salaries and explore the career path for Market Research Analyst

Project Analyst

Project Analysts use data to monitor project performance and identify areas for improvement. This role requires analytical skills and the ability to analyze project data using tools such as Excel and Power BI. This course provides the necessary foundation to become a Project Analyst by way of its training in PivotTables, data visualization, and dashboard creation. The course will assist you in tracking project progress, identifying risks, and communicating insights, which are essential skills for this role. This course may be useful in your career as a Project Analyst.

See salaries and explore the career path for Project Analyst

Pricing Analyst

Pricing Analysts study market trends and cost data to determine optimal pricing strategies. The course's focus on data analysis using Excel, Python, and Power BI is highly relevant to a Pricing Analyst, a role which often requires creating reports and presentations. The course will enable you to create interactive dashboards which are helpful to communicate key findings. The course helps you build a foundation in data analysis to make well-informed recommendations; this is crucial for a Pricing Analyst. This course may be useful for those wanting to pursue a career as a Pricing Analyst.

See salaries and explore the career path for Pricing Analyst

Risk Analyst

A Risk Analyst assesses potential risks and their impact on business operations. This role requires the ability to analyze data, identify patterns, and create reports. This course will help you as a Risk Analyst due to its emphasis on data analysis techniques using Excel and Python. The material on using Power BI to create visualizations will allow you to present findings, as well. This course may be useful for those wanting to excel as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Database Analyst

A Database Analyst works with large volumes of data, ensuring its integrity and accessibility. This role requires the ability to extract, transform, and load data for analysis, skills that are explored in this course. Though this course does not focus on database management, it teaches the fundamentals of connecting to various data sources (including CSV and Excel files). The material on data cleaning and manipulation is also very helpful for this role. Additionally, learning Python can be useful for automating data-related tasks. This course may be useful for those wanting to start their journey as a Database Analyst.

See salaries and explore the career path for Database Analyst

Data Analysts Toolbox

Excel, Python, Power BI, PivotTables

Here's a deal for you

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Essential data tools introduction

Activities

Career center

Reading list

Share

Similar courses