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Python for Data Analysis Crash Course 2026 + updates
13 students
Created byShayan Janati
Last updated 6/2026
English

What you'll learn

  • Install Python, Jupyter Notebook, and the pandas library in under 10 minutes – no confusing terminal commands
  • Load CSV, Excel, and real‑world messy datasets into Python with a single line of code
  • Quickly inspect a new dataset: find out its size, column types, and basic statistics without scrolling
  • Select, filter, and sort data to instantly answer business questions (e.g., “Which region had the most sales?”)
  • Create new columns and categories using simple formulas – no VLOOKUPs needed
  • Handle missing data, duplicate entries, and inconsistent text – the real‑world messiness you’ll face on the job
  • Merge two related tables together (think of it as a spreadsheet VLOOKUP that actually works)
  • Build bar charts, line plots, and scatter plots using pandas’ built‑in plotting
  • Complete a full mini‑project: clean a sales dataset, analyse performance by region, and visualise trends
  • Have a clear next‑step roadmap to continue your learning – whether that’s through my paid courses or other free resources

Course content

1 section9 lectures1h 56m total length
  • Python Basics for Data Wrangling10:39
  • NumPy: The Foundation of Numerical Computing13:53
  • Pandas Series & DataFrames: Your Data’s New Home18:33
  • Loading, Inspecting, and Cleaning Messy Data21:08
  • Data Transformation: Filtering, Sorting, and Grouping10:55
  • Merging, Joining, and Reshaping Datasets10:06
  • Aggregations, Pivot Tables, and Summary Statistics10:19
  • Data Visualization with Matplotlib and Seaborn10:59
  • Mini Project: Analyzing a Real-World Dataset from Start to Finish10:00

Requirements

  • A computer (Windows, macOS, or Linux) with an internet connection
  • The ability to install free software (I’ll walk you through it – takes 5 minutes)
  • Basic comfort using a computer (managing files, using a web browser)
  • A positive attitude and willingness to pause the video and type along with me – that’s where the learning sticks
  • No prior coding or data analysis experience is needed. Everything is explained from scratch.

Description

You want to break into data analysis, but every course seems too long, too expensive, or too complicated. This free, 2‑hour crash course is your fast track to real, hands‑on data skills using Python and pandas – no prior programming experience needed.

In just one sitting, you’ll go from opening a Jupyter Notebook to cleaning a messy dataset and building your first professional‑looking charts. We’ll skip the fluff and jump straight into the 20% of skills that deliver 80% of results. By the end, you’ll complete a mini‑project that analyses sales data – exactly the kind of task data analysts tackle every day.

This course is the on‑ramp to a complete skill path. I’ve designed three full follow‑up courses (available separately) that take you deeper into data wrangling, visualization, and portfolio‑ready projects. But even if you never take another course, you’ll finish this one with the confidence to load, clean, and plot data on your own.

What makes this course different?

  • A quick win in the first 15 minutes – you’ll immediately see a real result

  • A compact, real‑world mini‑project that ties everything together

  • Bite‑sized lectures (3‑7 minutes) that respect your time

  • A downloadable companion workbook with  datasets and shortcuts

Join thousands of students who started their data journey right here. Click “Enroll now” and let’s analyse some data – today.

Who this course is for:

  • Absolute beginners curious about data analysis with Python (no coding background required)
  • Professionals who work with spreadsheets and want to graduate to more powerful tools
  • Students who tried long Python courses but lost momentum – get a quick, satisfying win here
  • Anyone who wants to test the waters before committing to a full data analysis path
  • Job seekers looking to add a practical, demonstrable skill to their resume quickly