- Course Overview
What this course is about
Turn data into decisions. Confidently.
This course takes you from raw datasets to polished, interactive dashboardsusing Python, pandas, SQL, and Power BI across real business scenarios that reflect how analytics actually works.
You won't just clean data. You'll analyse it, visualise it, and present it in a way that changes how decisions get made.
At ITLearnner, we focus on clarity, structure, and confidence. Every session equips you with the tools and thinking that data-driven organisations pay for.
Learning Objective :
By the end of this course, you will be able to
By the end, you can.
- Clean and manipulate datasets using pandas with confidence
- Write SQL queries to extract and filter business data
- Create compelling visualisations using matplotlib and seaborn
- Build interactive Power BI dashboards that tell a clear story
- Present data insights to a non-technical audience
- Who this course is for:
Target Audience
Who this course is for
Target audience
For professionals ready to stop describing data and start turning it into decisions that organisations actually act on.
- Career starters and graduates targeting data analyst or business intelligence roles who want a portfolio of real dashboards not just certification screenshots.
- Professionals already working with data in Excel or basic tools who want to move to Python, pandas, SQL, and Power BI the toolkit data-driven organisations actually pay for.
- Anyone seeking a promotion or role change into analytics who needs to demonstrate real analytical output, not just awareness of the tools.
If you see yourself in one of these, this course is built for you.
What you need
Pre-Requisites
What you need.
- Basic Python knowledge variables and functions
- Basic SQL awareness is helpful but not required
- A laptop with Python, Jupyter, and Power BI Desktop installed
Data Analysis with Python and Power BI
21 Hrs
Duration
1.5 hrs
Sessions
Online, Live
Delivery
Curriculum
01
Data Fundamentals
Learn the analytical process how analysts approach data, distinguish data types, and structure a question before touching any tool and apply that thinking framework to a real business dataset you’ll analyse throughout the course.
02
pandas and Data Manipulation
Learn data manipulation with pandas filtering, grouping, joining, reshaping, and handling missing values and apply them to clean and transform real business datasets into analysis-ready form.
03
SQL for Data Analysis
Learn SQL for data analysis SELECT, aggregations, JOINs, subqueries, and window functions and apply them to extract business insights from a relational database using queries you’ll add to your portfolio.
04
Data Visualisation with matplotlib
Learn data visualisation with matplotlib and seaborn charts, histograms, scatter plots, and heatmaps and apply them to create visual narratives from your cleaned dataset that communicate insight to a non-technical audience.
05
Power BI Introduction
Learn Power BI fundamentals connecting data sources, building a data model, creating visuals, and publishing a report and apply them to build your first interactive dashboard from the dataset you’ve been working with.
06
Advanced Power BI and DAX
Learn advanced Power BI and DAX calculated columns, measures, time intelligence, and drill-through and apply them to build an executive-grade dashboard that answers complex multi-dimensional business questions.
07
Capstone Dashboard Project
Learn how to structure, finalise, and present a complete analytics project combining Python, SQL, and Power BI and apply all course learning to deliver and present a capstone dashboard to the cohort and mentor.
Frequently asked questions
1
Who is this course designed for?
This course is designed for career starters, business professionals, and anyone who works with data and wants to move beyond Excel. It is equally suited to those preparing for the Microsoft Power BI Data Analyst Associate (PL-300) pathway.
2
What prior experience do I need?
Basic Python knowledge variables and functions is recommended. Basic SQL awareness is helpful but not required. No prior data analysis or Power BI experience is needed.
3
What will I be able to do by the end?
You will be able to clean and manipulate real datasets with pandas, write SQL queries for data extraction, create compelling visualisations with matplotlib and seaborn, build interactive Power BI dashboards, and present data insights clearly to a non-technical audience.
4
How are the sessions structured?
Seven modules, 1.5 hours per session, 14 sessions over seven weeks. All sessions use real business datasets throughout.
5
What is EngagePro?
After each session you receive reference material covering pandas operations, visualisation techniques, and DAX formula guides. Each task involves analysing a real dataset and producing either a written insight or a Power BI visual. Dr Amara Osei reviews all submissions with data quality and insight quality scores.
6
What tools do I need?
A laptop with Python, Jupyter Notebook, and Power BI Desktop installed. All are free to download.
7
Will I receive a certificate?
Yes the ITLearnner Data Analysis with Python and Power BI Certificate on completion, with full alignment to the Microsoft PL-300 exam pathway for those who wish to pursue formal certification.
Learning Approaches
We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:
One-on-One Training
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Personalized, instructor-led coaching tailored to your learning speed.
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Best for career-specific coaching or specialized training needs.
Small Batch Classes (2-5 learners)
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Interactive, discussion-based learning in small groups.
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Encourages collaboration, teamwork, and peer-to-peer engagement.
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