Online Courses for Python Specialists

Learning PathPython for Data Analytics

This path is for BI Analysts or Data Scientists looking to master Python's most powerful tools for data analysis and visualization, including Pandas, Matplotlib, Seaborn, Plotly and Dash.

73 hours

4 courses

2 projects

Python

Start learning this path

Overview

This path is for BI analysts or data scientists looking to build job-ready Python skills and master the most popular libraries for data analysis and visualization.

We'll start by mastering the core building blocks of Python for analytics, including data types, properties, and foundational tools like variables, numeric and string operators, conditional logic, loops and functions.

Next we'll dive into NumPy & Pandas, two of the most popular Python packages for data analysis. We'll introduce arrays and array properties, common operations like indexing, slicing, filtering and sorting, and powerful methods for exploring, analyzing, aggregating and transforming dataframes.

From there we'll explore data visualization methods using Matplotlib & Seaborn. We'll introduce data visualization frameworks and best practices, review tools and techniques for building and customizing basic charts, then explore advanced formatting options and custom visuals.

Last but not least we'll use Plotly & Dash to build and deploy interactive visuals, dashboards, and web applications.

This path is designed to help you learn job-ready skills, solve real business problems, and build a project portfolio to showcase your skills to peers and employers.

WHO SHOULD TAKE THIS PATH?

Data Analysts or BI professionals looking to build expert-level Python skills
Aspiring data scientists who want to learn Python for data analysis and visualization
Students looking for a hands-on, project-based learning experience

WHAT ARE THE PATH REQUIREMENTS?

Jupyter Notebooks (free download, we'll walk through the install)
No advance preparation is required (basic familiarity with programming is a plus, but not a prerequisite)

Curriculum

Course

Python Foundations for Data AnalysisMaster the core building blocks of Python for data analysis, including data types, variables, conditional logic, loops, functions and more

Course

Data Analysis with Python & PandasMaster the basics of NumPy and Pandas for data analysis, and learn how to explore, transform, aggregate, join and visualize dataframes

Guided Project

AirBnB Listing AnalysisAnalyze AirBnB listings in Paris to determine the impact of recent regulations

Course

Data Visualization with Matplotlib & SeabornLearn how to build custom visuals and reports using Python's most popular data visualization libraries: Matplotlib & Seaborn

Guided Project

World Economic ReportCreate a one-page report that highlights key insights on the state of the global economy.

Course

Interactive Dashboards with Plotly & DashCreate interactive visuals, dashboards and web applications using Python's Plotly & Dash libraries

Instructors

Chris Bruehl

Chris BruehlChris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.

Overview

This path is for BI analysts or data scientists looking to build job-ready Python skills and master the most popular libraries for data analysis and visualization.

We'll start by mastering the core building blocks of Python for analytics, including data types, properties, and foundational tools like variables, numeric and string operators, conditional logic, loops and functions.

Next we'll dive into NumPy & Pandas, two of the most popular Python packages for data analysis. We'll introduce arrays and array properties, common operations like indexing, slicing, filtering and sorting, and powerful methods for exploring, analyzing, aggregating and transforming dataframes.

From there we'll explore data visualization methods using Matplotlib & Seaborn. We'll introduce data visualization frameworks and best practices, review tools and techniques for building and customizing basic charts, then explore advanced formatting options and custom visuals.

Last but not least we'll use Plotly & Dash to build and deploy interactive visuals, dashboards, and web applications.

This path is designed to help you learn job-ready skills, solve real business problems, and build a project portfolio to showcase your skills to peers and employers.

WHO SHOULD TAKE THIS PATH?

Data Analysts or BI professionals looking to build expert-level Python skills
Aspiring data scientists who want to learn Python for data analysis and visualization
Students looking for a hands-on, project-based learning experience

WHAT ARE THE PATH REQUIREMENTS?

Jupyter Notebooks (free download, we'll walk through the install)
No advance preparation is required (basic familiarity with programming is a plus, but not a prerequisite)

Instructors

Chris Bruehl

Chris BruehlChris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.

Curriculum

Course

Python Foundations for Data AnalysisMaster the core building blocks of Python for data analysis, including data types, variables, conditional logic, loops, functions and more

Course

Data Analysis with Python & PandasMaster the basics of NumPy and Pandas for data analysis, and learn how to explore, transform, aggregate, join and visualize dataframes

Guided Project

AirBnB Listing AnalysisAnalyze AirBnB listings in Paris to determine the impact of recent regulations

Course

Data Visualization with Matplotlib & SeabornLearn how to build custom visuals and reports using Python's most popular data visualization libraries: Matplotlib & Seaborn

Guided Project

World Economic ReportCreate a one-page report that highlights key insights on the state of the global economy.

Course

Interactive Dashboards with Plotly & DashCreate interactive visuals, dashboards and web applications using Python's Plotly & Dash libraries

Testimonials

Real. Happy. Students.

We've helped thousands of students land dream jobs, launch new careers, and build powerful data skills. Start writing your own success story today!

"Thinking like an analyst" course is a very complete compact course if you have to go through the process of getting to know your customers business till building an insightful dashboard for them. I did a lot of courses the past year but this one is totally different. Key is satisfying your customer by giving them strong insights. I really enjoyed the course and put it on pause many times to check or use it directly in my own ongoing project. I can recommend this course to anybody working as a consultant in the data area.

Marjolein Opsteegh

Maven's Pivot Table & Charts class was a great intro to dashboard design but Advanced Excel Dashboard Design will take your approach to a whole new level. You'll learn the importance of formula-based dashboard design and how to manipulate colors, charts, and KPI metric cards to tell your story. By far one of my favorite Maven classes!

Nate Dunn

Thinking like an Analyst course has helped me to clearly understand what it takes to have a successful career in data analytics. I have learnt that my focus should be on the skills I acquire while learning and not the tools. I have also learnt a data analysis workflow for high quality analysis that drives actionable outcomes. I had fun while learning during this course. It is self pacing and elaborate.

Eniola Dada

For all aspiring or converted analyst out there, stop looking around, this is the way to get the role you are looking for. I am truly impressed with the quality of the information and the completeness of the package Maven Analytics put together. In this well rounded package you have everything you need, from finding your own path, writing or re-writing your resume, marketing on LinkedIn, to building the so needed project portfolio, and even interview skills and approaches.

Radu Tecuceanu

Love the Maven courses! The instructors always have great slide content to help solidify the concepts and drive home the key aspects. The examples and very relatable making it so much easier to understand how to apply my own projects.

Joseph Collins

Maven Analytics changed my life, I found a better job position taking the Excel and Power BI paths, nowadays I can apply my skills in my company innovating everyday. Thankful forever.

Rodrigo Chavez

An excellent course with top-notch data sets to work around with. As usual, Chris Dutton did a fabulous job of covering each element with a simplistic but analytical approach. Although I've been using pivot tables for 5+ years, the new learnings will open a whole array of opportunities for extracting actionable insights. Thank you!

Faizan Qadri

Before deciding to join this learning platform, I struggled to understand and figure out what direction I needed to take for my skill development to be a Data Analyst. This first course helped ease some of my fears and confusion. I am more passionate about my decision to become a data analyst. THANK YOU Chris, John, Aaron, and Enrique , and I look forward to learning more through Maven.

Angie

The Maven Analytics Courses are packed full of practical lessons and useful pro tips that can be immediately applied to data in the workplace. One of the best trainings I've ever taken!

Randy McCauley

Once again Maven blows it out of the water. In this fantastic, well structures course about the way to "Think Like an Analyst". It has so many good points and actions to take when putting together a project. I found it very useful and was able to put it into practice at work straight away. Thank Guys!

Catherine Taylor

Maven really makes it possible to get into data analytics without taking (and paying for) a traditional education program. The courses I took left me with a better understanding and deeper knowledge of what I like most: analyzing data.

Erik van’t Ende

The course is fantastic and highly recommended. It gave me the confidence to perform the logical analysis in any given data source and of course build kickass visuals business dashboards for my clients :). Loved the course from the first second to the last.

Tonmoy Hashmi

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WHO SHOULD TAKE THIS PATH?

WHAT ARE THE PATH REQUIREMENTS?

WHO SHOULD TAKE THIS PATH?

WHAT ARE THE PATH REQUIREMENTS?

Real. Happy. Students.

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