THEMASTERPIECETECH“Where do I even start?”
You’re interested in tech, but the endless roles and roadmaps feel overwhelming. You want a clear direction, not another rabbit hole.
Find your starting point
LEARN • GROW • BUILD
Python for
Data Science
Bootcamp.
Not sure where you fit in tech? Start from zero. Learn Python, work with real data and build a portfolio that gets you noticed — even if you’ve never written a line of code.
Starts 24 October10 weeksOnline / Virtual
Beginner-friendly No coding experience needed
Stronger skills. A brighter future.Your data journey starts here.
10-week journey2 classes a week
Built for beginnersStart from the very basics
Python + data scienceSkills that work together
Online / VirtualStarts 24 October
YOUR INSTRUCTOR
Nkechika Collins Akpe
Data Scientist
Learn. Grow. Build.
LESS OVERWHELM. MORE DIRECTION.
You don’t need it all figured out.
You just need a place to start.
If any of these sound like you, you’re in the right place.
“I want to learn Python.”
You’re ready to code, but you need a beginner-friendly path that connects Python to something practical: working with data.
Start with the foundations
“Is data science for me?”
You’re curious about data and ready to explore a new skill. You want to understand the field before deciding on your next step.
Turn curiosity into clarity
COURSES YOU WILL TAKE
10 weeks.
A whole new perspective.
From understanding your options to making sense of real data. Seven core courses across 10 weeks, with two classes each week. A step-by-step path designed to make the unfamiliar feel achievable.
No coding experience needed. You start with what data science is, then set up Python together from the very basics.
PythonPandasNumPyMatplotlibJupyter
Start your journey01Introduction to Data Science
What data science is, how it works and where it is used.
- Understanding data science
- Real-world applications
- Exploring your direction in tech
02Python Installation & Setup
Install Python and set up your coding environment.
- Installing Python
- Setting up your environment
- Getting ready to write code
03Variables & Python Basics
Variables, data types and the building blocks of code.
- Variables
- Data types
- Python fundamentals
04Arrays & NumPy
Work with arrays and fast numerical computing.
- NumPy arrays
- Array operations
- Numerical computing
05Pandas for Data Analysis
Load, clean, explore and summarise real datasets.
- Loading datasets
- Cleaning and exploring data
- Summarising your findings
06Data Visualization
Turn data into clear charts and visual stories.
- Creating charts
- Choosing clear visualisations
- Telling stories with data
07Scikit-learn: Intro to Machine Learning
Build your first machine learning models with scikit-learn.
- Machine learning foundations
- Working with scikit-learn
- Building your first models
BONUS TOPICS
Build skills. Get seen.
Take your learning beyond the notebook with these three bonus topics.
Upwork Account Setup
Portfolio Creation with GitHub
LinkedIn Visibility
A FOUNDATION TO BUILD ON
More than learning code.
Finding your next step.
You don’t have to become an expert overnight. Start by building the skills and understanding that make your next move clearer.
Understand the world of data
See how data roles differ and where your interests could take you.
Write Python with purpose
Move beyond tutorials and use Python to explore real datasets.
Make sense of what you find
Clean data, create visualisations, and explain your insights.
Keep moving forward
Bring your learning together and identify what to practise next.
LEARNER FEEDBACK
A little patience.
A lot more confidence.
Feedback from learners in Nkechika’s classes.
“The Data Analysis class was so easy and simple to understand, as someone that was scared of numbers formerly, the method of Ma Nkechika teaching changed everything for me!
She used simpler terms and I was able to tag along, I’ll mention that you were patient with us and is something I appreciate in any teacher!
I would recommend her class to anyone that wants to try out Data Analysis as a career.”
“Ma, thank you very much for squeezing out time out of your busy schedule to host a class on Python for data science, free for beginners.
The classes were lovely, straight to the point, well detailed and illustrated, and easy to understand.
Thank you ma for the opportunity to learn from you.”
YOUR NEXT CHAPTER STARTS WITH ONE STEP
Less “maybe someday.”
More “I’m starting now.”
Give your curiosity a direction. Take your first steps into Python and data science with this 10-week online bootcamp, starting 24 October.
Yes, I’m ready to startView pricing and pay securely on Selar
A LITTLE MORE CLARITY
Questions?
Let’s clear them up.
Starting something new comes with questions.
Here are a few answers to help you decide.
Does data science require coding?
Not to start. No coding experience is needed before you join — the first courses cover what data science is, then set up Python from the very basics. You only move into data analysis and machine learning once you’re comfortable writing your own code.
Can I learn data science on my own?
You can, and free resources do exist. The hard part is direction: knowing what to learn next, and keeping momentum when a setup or an error blocks you. The bootcamp gives you a set order of topics, two live classes a week and a tutor to unblock you.
What do I need to learn data science?
A laptop or desktop computer, internet access, and a willingness to practise. No degree, no maths background and no prior coding are required. Check the enrolment page for the confirmed schedule and any additional course requirements.
How do I start a career in data science?
Start with one language and real data. Over 10 weeks you move from Python basics through cleaning data and visualising it to an introduction to machine learning, then use the bonus topics to turn that work into a portfolio, an Upwork profile and a visible LinkedIn profile.
Can I switch my career to data science?
Yes. The bootcamp is built for people arriving from another field, and for those still deciding which tech role suits them. You build the foundation and a portfolio first, so the decision about your next role rests on work you’ve actually done.
Is data science a good career?
Data work now sits across almost every industry, and the skills you build here — Python, cleaning and analysing data, explaining what you found — carry into many different roles. Whether it’s the right fit for you is easier to judge once you’ve genuinely worked with data.
How much does a data scientist earn?
Earnings depend on role, location, industry and experience, so any single figure would be misleading. What the 10 weeks give you is the foundation and the portfolio that make entry-level roles and freelance projects reachable.
Where can I learn data science online?
This bootcamp is delivered entirely online, with two classes a week over 10 weeks starting 24 October. You attend the classes live and practise between them. Check Selar for the confirmed class times.
Is this for me if I’m still choosing a tech role?
Yes. The bootcamp is designed with undecided beginners in mind. Exploring data roles and trying practical Python skills can help you make a more informed choice about your direction.
How do I pay and enrol?
Click any enrolment button to open the bootcamp’s Selar checkout in a new tab. You can review the current price and purchase details there before making a payment.
Will this guarantee me a job?
No course can guarantee a job. This bootcamp focuses on a beginner foundation, practical Python skills, and clarity about your next steps. Building experience takes continued practice beyond the 10 weeks.