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Data Analysis with Python and Power BI

Turn raw data into decisions that get noticed.

Data analysis with Python, pandas, SQL, and Power BI - real business datasets, real dashboards, and expert mentor review throughout.

Data Analysis with Python and Power BI course — data analytics training
- Course Overview 

What this course is about

Turn data into decisions. Confidently.

This course takes you from raw datasets to polished, interactive dashboards—using 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.

Python coding for kids - Holiday season

Duration

40 Hours

Per Session

1 Hour

Format

Live & Online

Practical

Hands-on Included

Learning Objective : 

By the end of this course, you will be able to

By the end, you can.
  1. Clean and manipulate datasets using pandas with confidence
  2. Write SQL queries to extract and filter business data
  3. Create compelling visualisations using matplotlib and seaborn
  4. Build interactive Power BI dashboards that tell a clear story
  5. Present data insights to a non-technical audience
Who This Is For

Target Audience

A structured learning path designed for professionals who want to work with data, extract insights, and present findings using industry-standard tools.


Who this is for:

  • Career Starters and Graduates : Building a data analysis skillset for roles in business intelligence and analytics

  • Developers : Adding data analysis and visualisation capabilities alongside existing technical skills

  • Professionals :  Using Python and Power BI to drive better decisions from business data

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

Curriculum

01
Data Fundamentals

Data types, sources, and the analytical process — how analysts think about data before touching it

02
pandas and Data Manipulation

Clean, filter, transform, and reshape real business datasets using pandas

03
SQL for Data Analysis

Query databases, aggregate data, and join tables to extract business insights

04
Data Visualisation with matplotlib

Create charts, histograms, scatter plots, and visual narratives from raw data

05
Power BI Introduction

Connect data sources, build reports, and create your first interactive dashboard

06
Advanced Power BI and DAX

Calculated columns, measures, DAX formulas — the analytical layer that drives executive dashboards

07
Capstone Dashboard Project

A complete, interactive Power BI dashboard using a real business dataset — built, reviewed, and presented

Career Relevance

Data is the most valuable resource in business. The professionals who can find, clean, model, and visualise it are among the most sought-after in every industry.

  • Data Analyst — Turn raw data into decisions that matter
  • Business Intelligence Analyst — Power BI dashboards that drive strategy
  • Power BI Developer — The specialist role in data visualisation
  • Data Scientist — The path beyond analysis, into prediction
  • Financial Analyst — Data skills plus domain knowledge equals high value

pandas, NumPy, matplotlib, seaborn, Power BI, DAX, SQL, data cleaning, storytelling with data

Data skills are sector-agnostic. Finance, healthcare, retail, technology — every industry needs them.

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.

Course Types

We offer three structured learning paths based on your goals

Crash Course

Fast-Track

Quick, intensive courses designed to teach specific skills efficiently. Ideal for those looking to upskill fast or prepare for certifications.

DeepDive Program

Full Mastery

Comprehensive, step-by-step learning designed for full mastery. Ideal for beginners and professionals looking for long-term expertise.

MentorConnect

One-on-One

Personalised mentorship programs with real-world guidance. Best for learners who want one-on-one coaching from industry experts.

Learning Approaches

We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:

One-on-One Training

  • Personalized, instructor-led coaching tailored to your learning speed.

  • Best for career-specific coaching or specialized training needs.

Small Batch Classes (2-5 learners)

  • Interactive, discussion-based learning in small groups.

  • Encourages collaboration, teamwork, and peer-to-peer engagement.

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Join Us Today

Welcome to ITLearnner, your gateway to a world of online education! We make it simple to register for our courses, helping you navigate through various categories to find the perfect match for your learning goals.

 

When signing up, we'll ask where you learned about us and if you have any references, making the process smooth and tailored to your needs.

 

Join us today and unlock your potential in the digital realm!

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