Python With Data Science
Dive into Python programming and statistical modeling while targeting machine learning and professional data engineering skills.
This Python-based data science course is tailored to equip students with a thorough understanding of data manipulation, visualization, and analysis. The course leverages powerful libraries and softwares, including Power Bi, Tableau, pandas, plotly, nltk, and wordcloud, to teach students essential data science concepts such as statistical analysis, exploratory data analysis, and machine learning using scikit-learn. Through hands-on exercises and real-world projects, students will master the art of working with data in various formats, creating visualizations, and building machine learning models. By the end of the course, students will have the expertise to tackle real-world data science challenges and make data-driven decisions with confidence.
- Fee
- ₦
- Format
- On-Site
- Course code
- Frequency
- 3 days weekly
- Session
- 2 hours per session
Upcoming batches
Physical instructor
Learn with peers
Milestone projects
Accreditation backed
Welcome to Python With Data Science Training
Skill Relevance
Machine Learning (ML): The ability to build predictive models, from regression to complex neural networks. It is the defining skill of Data Scientist and ML Engineer roles. 69% of Data Scientist job postings in 2024 mentioned Machine Learning as a requirement. (Source: 365 Data Science, Data Scientist Job Market 2024) Python's simplicity, extensive ecosystem of specialized libraries, and versatility make it the top programming language for data science roles. 78% of Data Scientist job postings in 2023 explicitly mentioned Python as a required skill, highlighting its essential status in the industry. (Source: DeepLearning.AI, citing an analysis of job postings) Also, In the 2024 job market, Python still holds the lead, being mentioned in 57% of data scientist job offers, followed by R (33%) and SQL (30%). (Source: 365 Data Science, Data Scientist Job Market 2024)
Statistics and Math are essential for selecting the correct model, interpreting results, and validating conclusions (e.g., A/B testing, hypothesis testing). Statistics is consistently listed as a core technical requirement alongside programming skills. (Source: DataCamp, The Top 15 Data Scientist Skills for 2025).
Key Benefits
Python which is general purpose programming Language can be use in cross functional-roles such as web development, automation, and web scraping. Meaning the skills and values learned from Python go beyond just data analysis.
With the use of Python, it will be easier to adopt new technologies in the coming years.
Roles like Data analyst, Data scientist and Machine learning Engineer earn a high substantial amount.
Roles like Data Analyst, Data scientist, and Machine Learning Engineers are in a high demand for companies due to its importance to the modern economy.
Versatility: Due to the nature of these Jobs, they are needed in the Finance, health, Manufacturing, and other sectors which foster security.
Key Modules and Packages
Python
This is a high-level interpreted programming language that enables programmers the identify, uncover hidden patterns, relationships, and trends in a dataset. Here we understand Python as a programming language, starting from the beginner level to the advanced level.
SQL Database
Structured Query Language (SQL) is a powerful and essential tool for managing and manipulating data in relational databases. In this course, you will learn SQL fundamentals, including querying data with SELECT statements, filtering, sorting, grouping, and joining tables.
Numerical Python (NumPy)
This is a Python Library that enables us to perform mathematical and statistical operations. Also, NumPy enables scientific computation in Python.
Pandas
This is a Powerful Library that is used for Data analysis and Data Manipulation. This is a Foundation Library that we used very well in the field of Data Science.
Plotly
Plotly is an open-source Library that is used for Data Visualization. This Library provides a Modern Interactive diagram that can be used to Perform EDA (Exploratory Data Analysis).
Power BI (Business Intelligence)
Power Bi is a business Intelligence app created by Microsoft that enables users to transform raw data into meaningful insights that aid users in making informed decisions.
Tableau
Tableau is a data visualization and business intelligence software platform that helps users connect to various data sources, create interactive dashboards, and share insights.
Machine Learning
Machine Learning is a subset of Artificial intelligence that enables computers to understand patterns and relationships in a dataset with the sole aim of making accurate predictions.
Natural Language Processing (NLP)
Natural Language Processing is a Library that enables computers/Machines to understand, interpret and generate Human Language in a meaningful way.
Labour Market Opportunities
Data Scientist (The ultimate problem solver.)
This role involves designing and implementing advanced statistical models and Machine Learning (ML) algorithms (using Python libraries like Scikit-learn, TensorFlow, and PyTorch) to make predictions, forecast trends, and solve complex business problems.
Data Analyst (The insight generator)
Responsible for collecting, cleaning, transforming, and visualizing large datasets using Python libraries like Pandas and Matplotlib. Their primary goal is to identify meaningful trends and communicate actionable insights through reports and dashboards.
Business Intelligence (BI) Developer
The reporting expert who specializes in designing and building dashboards, reports, and data visualization tools that allow non-technical business users to easily monitor Key Performance Indicators (KPIs) and make data-driven decisions. They often use Python for data extraction and cleaning before visualization.
Machine Learning Engineer (The model deployer)
Focuses on the production side of data science. They design, build, and maintain the scalable infrastructure and pipelines (often using Python) that allow trained ML models to be reliably used in real-time applications and services.
What Our Students Say
My experience has been rewarding.As much as I can't say I have mastered Python, I know that with Practice, I will get it.Python is interesting and wide at the same time, but at Early code, it was demystified.The Instructor Mr Henry Godstime did his best to pass the knowledge. So far, so good.
Business Entrepreneur
My training in Python with Data Science was a good and informative learning experience. The sessions covered important concepts and practical applications, which helped me understand how Python is used in data analysis. At times, the content felt confusing due to the depth and pace of the topics, but overall it was a valuable experience that improved my knowledge and interest in data science.
Student
My Python programming training was actually a nice experience. it wasn't what I expected; it was easier than I thought. I learned a lot.
Student
I'm having a great experience in this Python class. The classes are well structured and easy to understand, starting from the basics and gradually moving into more advanced topics. Our instructor explained topics clearly and used practical examples that made it easier to understand
Dog breeding and trainer
My python and data science training has been a though but very impacting journey. It pushed me to go beyond my limits, putting in brain work, and making me think outside the box especially when it comes to presenting information and also code debugging. It made me believe that you can actually write code and do so much more without AI and it helped me to rely on my self and my intellect more often, when carrying out these tasks.It was really nice covering the fundamentals of Python, SQL database management, data analysis, visualization with power BI, Tableau, Machine Learning and lots more.The tutors are exceptional and very welcoming and honestly the experience has been out of this world. And I can say for a fact that I have been equipped with skills I never thought I will be able to learn.
I'm currently training at EarlyCodeTech in Python, Data Science, and Data Analytics, and the experience has been very impactful. So far in Python, I’ve learned core concepts such as data types, variables, operators, conditionals, loops, functions, data structures (lists, tuples, sets, dictionaries), modules, debugging, and Object-Oriented Programming (OOP).The hands-on teaching approach and clear explanations have helped me build confidence and improve my problem-solving skills. I’m excited to continue the journey into Data Science and Data Analytics
My Python course exceeded my expectations and taught me a great deal. I gained valuable skills that will be very useful in the future. At first, I found Python to be a difficult computer course, but with the guidance and support from Early Code, it gradually became interesting and easy to understand. The course has been excellent, and it is my favorite so far. With the knowledge I’ve gained in Python, I feel confident that I can achieve my dreams and reach my goals. I am truly grateful to Early Code for all the support and learning opportunities.
Accounting Student
My python program has being going superb thanks to my tutor and my fellow colleagues and i am learning nicely and still hoping to acquire more knowledge.
Student
The course is going very well, it’s beyond my expectations. The instructor knows how to explain in layman’s terms, making it easy for me to understand. Thank you very much.
Student
My Python with Data Analytics training exceeded what I initially hoped for. It covered data analysis, data visualization, and real-world problem solving using Python, which fully prepared me to confidently analyze data and make data-driven decisions.
Freelancer
My Python with Data Science Experience has been really good, better than what I initially expected. From how flexible my class schedule is, to how patient and understanding our tutor, Mr Henry is with all of us in the effort he puts into teaching and the way the course is structured to cover aspects of ms excel, sql, python, data analysis and machine learning. The experience has been really good so far.
Qs
My data analytics training was everything I expected and more. With the knowledge gotten on MS Excel, PowerBI, Tableau, I am confident that I have what it takes to be called a data analyst.
Student
This training gave me a solid and practical understanding of Python for data analysis. I learned how to clean, analyze, and interpret data effectively, while working with real datasets that reflect real-world scenarios. The structure of the program made complex concepts easy to understand and helped me develop strong analytical thinking skills.
Student
My data science practice has exceeded my experience, covering python fundamentals, My SQL database management. It improves my skills to excel as a data engineer and solving problems in data science
Data Engineer
My Data Science training went far beyond my expectations. I gained solid mastery in Python, SQL database management, and comprehensive data analysis and visualization using Power BI, Tableau, and Excel. I also developed strong skills in machine learning and natural language processing. This training has empowered me to excel as a highly proficient data analyst, business intelligence expert, and a confident Individual.
Data Scientist and Business Intelligence Expert
My Data science class has been mind changing and impactful, been able to understand and work on Python and SQL data base management my favorite, enabling me with skills I felt I was incapable of.
Data Analyst and communication expert
Who Should Attend
Anyone interested in machine learning, Artificial Intelligence, or automation
This course provides the technical foundation required to build intelligent systems and automate complex, repetitive tasks. You will explore the libraries that power modern AI, learning how to implement predictive models and neural networks. By the end, you will understand how to transform raw data into automated solutions that drive innovation.
Beginners who want to learn Python from scratch
Starting with no prior experience, you will master the syntax and logic of Python, the world's most popular programming language. The course breaks down variables, loops, and functions into easy-to-understand concepts through hands-on coding exercises. You will quickly move from writing your first line of code to developing functional scripts for data manipulation.
Analysts, economists, statisticians, business students, and researchers can enroll in this course
This module focuses on applying Python to quantitative fields to enhance data accuracy and depth beyond traditional spreadsheet tools. You will learn to use Pandas and NumPy to clean large datasets and perform complex statistical analysis with ease. It is designed to help you generate high-level visualizations and data-driven insights for academic or professional research.
People preparing for data science entry-level roles or internships can register
The curriculum is specifically tailored to equip you with the job-ready skills and portfolio projects that recruiters look for in candidates. You will work on real-world datasets, solving problems that mirror the daily challenges of a professional data scientist. This preparation ensures you can confidently navigate technical interviews and contribute to a data team from day one.
Tech career switchers
For those moving from non-technical backgrounds, this course offers a clear and supported pathway into the lucrative field of data science. You will learn how to leverage your existing domain expertise by combining it with powerful programming and analytical capabilities. This transition focuses on practical application, making your shift into the tech industry both logical and efficient.
Frequently Asked Questions
Python is taught in Data Science as it is one of the most popular programming languages used for analysing, manipulating, and visualising data. The powerful libraries that make Data Science possible (like Pandas, NumPy, and Matplotlib) are all written in Python. To use these libraries effectively, you must understand the underlying Python syntax and data structures.
Python with Data Science is a full-packaged course. The course packages include Python programming language, a popular language for Data analysis, and MySQL. Data Science provides data analysis, manipulation, and visualisation. It also contains packages like Tableau and Power BI for business analysis, and concepts of AI like Machine Learning and Natural Language Processing(NLP).
Yes, concepts of AI like Machine learning and Natural Language Processing(NLP) are taught in our Python with Data Science course. You learn to test and train data to be able to make future predictions with your data.
Data analysts who use Python for data analytics or data science get data from different sources and maintain a database. When they are given complex data sets, data analysts identify, analyse, and interpret trends or patterns. This helps them in filtering and cleaning data.
No, Excel will not be taught in this course. Our Excel advanced package is taught under the Office Essentials Plus course.
At different modules in your course, you take on projects collectively as a class on real-world scenarios using real datasets, creating Python applications, dashboards, and visualisations.
Data science and analytics have applications across different industries today. Some of these include healthcare, banking, financial and insurance services, e-commerce, retail, entertainment, education, and more.
