Data Analytics
Step into data visualization and statistical interpretation while targeting business intelligence and professional decision-making skills.
This course focuses on helping learners develop strong, practical skills in data analytics using the industry-leading tools Microsoft Power BI and Tableau. Students will learn how to collect, clean, organize, and analyze data to produce meaningful insights that support real business decisions. Key topics include data modeling, Power Query, DAX formulas, calculated fields, dashboard design, and data storytelling. With hands-on projects, learners gain confidence in turning raw information into clear and useful business intelligence. By the end of the program, participants will be prepared to support data-driven decisions in major Nigerian sectors, including banking, business, government, telecommunications, healthcare, and technology.
- 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 Data Analytics Training
Skill Relevance
Data analytics has become one of the most essential skills in the global digital economy. According to the World Economic Forum's Future of Jobs Report (2023), data analysis, analytical thinking, and data visualization rank among the top 10 most in-demand skills worldwide. The report also confirms that over 75% of global companies are investing in data systems and hiring professionals who can interpret data for business use. Additionally, the LinkedIn Economic Graph (2023) identifies data analysis as one of the fastest-growing digital skills across Africa, especially in emerging markets like Nigeria.
These credible statistics show that data analytics greatly increases employability and long-term career growth.
Key Benefits
This Data Analytics course equips learners with essential technical and analytical skills that are highly demanded in today's workforce. One major advantage is the mastery of Microsoft Power BI and Tableau two powerful tools used globally by banks, telecom companies, NGOs, manufacturing firms, and government ministries. Learners gain practical knowledge in data cleaning, data modeling, KPI tracking, dashboard creation, and report automation using real datasets.
The curriculum is built on a project-based learning approach. Each module includes hands-on exercises, step-by-step demonstrations, and real industry scenarios. This ensures students develop practical competence, not just theoretical understanding, an attribute employer in Nigeria highly value.
The course also strengthens critical thinking, problem-solving, and communication skills. Students learn how to present insights in clear, simple language that managers, clients, and stakeholders can easily understand. This ability to translate complex data into meaningful conclusions is a key advantage in competitive workplaces. By the end of the course, students will build a strong project portfolio, gain the confidence to analyze real business problems, and become fully prepared for roles in business analysis, operations, financial analytics, project management, supply chain analytics, marketing insights, and data-driven decision support.
Key Modules and Packages
Introduction to Data Analytics
This module provides a clear understanding of the fundamentals of data analytics. Students learn the meaning of data analytics, why it is important, and how organizations use data to improve strategy and performance. They explore key concepts such as data types, data sources, structured and unstructured data, and the full analytics lifecycle. Learners are introduced to analytical thinking and the responsibilities of a data analyst across Nigerian industries such as banking, telecommunications, healthcare, logistics, and government. By the end of this module, students will understand how data shapes everyday decisions and why data-driven systems are essential for modern organizations.
Power BI for Data Analytics
This module teaches students how to use Microsoft Power BI to import, clean, organize, and analyze data effectively. Learners gain practical experience with Power Query, data modeling, DAX calculations, measures, relationships, and advanced visual design. The module emphasizes building interactive dashboards for KPIs, performance trends, and business reports. Students work with real-life Nigerian datasets to develop strong hands-on competence. By the end of this module, learners will be able to create complete, professional analytics solutions suitable for business operations, financial reporting, sales tracking, and corporate decision-making.
Tableau for Data Visualization
In this module, students learn how to use Tableau to design clear, engaging, and highly visual dashboards. They will learn how to connect to data sources, create charts, apply filters, and use calculated fields. The module also teaches visualization best practices and how to choose the right chart types for specific insights. Students explore Tableau’s advanced features including parameters, actions, interactive elements, and story points to build compelling dashboards. By the end of the module, learners will be able to design clean, interactive dashboards suitable for presentations, analysis, and business reporting across multiple industries.
Data Cleaning, Modeling & Storytelling
This module emphasizes the importance of preparing clean, accurate data before analysis. Students practice cleaning messy datasets, correcting errors, handling missing values, and building strong data models using relationships, hierarchies, and calculations. The storytelling section trains learners to present data insights in simple, clear, and meaningful ways. They master how to structure narratives, highlight key insights, and communicate results effectively to non-technical audiences. By the end of this module, students can transform raw datasets into compelling stories that support confident decision-making.
Labour Market Opportunities
Data Analyst
Data Analysts are in high demand across Nigeria's banking sector, fintech companies, government agencies, telecoms, and private firms. They gather, clean, and analyze data to help organizations understand trends and make better decisions. With strong Power BI and Tableau skills, graduates can create dashboards, automate reports, and support departments like operations, finance, strategy, marketing, and customer experience.
Business Intelligence (BI) Specialist
BI Specialists design and manage dashboards, data models, and reporting systems that help leaders monitor organizational performance. They work closely with decision-makers to analyze growth opportunities and identify challenges. With data visualization skills, graduates can work in logistics, telecoms, consulting firms, retail companies, manufacturing, and multinational organizations operating in Nigeria.
Operations & Reporting Analyst
Operations Analysts use data to improve daily operations, reduce waste, and enhance efficiency. They monitor KPIs, create automated dashboards, review performance trends, and support business units with insights. This role is common in supply chain management, manufacturing, healthcare, hospitality, and public administration.
Sales & Marketing Data Analyst
Sales and Marketing Analysts use data to understand customer behavior, track product performance, and support sales strategies. They analyze sales trends, customer segments, and campaign results. This role is particularly relevant in retail, FMCG, e-commerce, banking, and telecommunications sectors.
Project Monitoring & Evaluation Analyst
Monitoring & Evaluation Analysts help NGOs, government agencies, and development organizations track project performance. They use data to measure program success, identify gaps, and generate detailed reports. Power BI and Tableau skills make graduates highly valuable in development projects across Nigeria and Africa.
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
Beginners with no prior tech knowledge, willing to understand how data drives decisions
As a beginner with no prior knowledge, this course provides a seamless introduction to the world of data, teaching you how to transform raw numbers into meaningful stories. You will learn the fundamental concepts of data collection and cleaning without being overwhelmed by technical jargon.
Professionals in business, finance, and administration who want to sharpen analytical skills
For those already in the workforce, this program enhances your ability to interpret complex reports and extract actionable insights. You will master tools and techniques that allow you to automate routine data tasks and improve the accuracy of your financial or operational forecasts.
NYSC members and undergraduates seeking data-driven roles
This course is designed to give young graduates a competitive edge in a job market that increasingly demands digital literacy. You will build a portfolio of projects that demonstrate your ability to handle real-world datasets and provide evidence-based solutions. It serves as a bridge between academic theory and the practical analytical skills required by top-tier employers.
Anyone preparing for data analyst opportunities
Data analitics focuses on the specific technical stack and soft skills needed to land and succeed in a dedicated data analyst role. You will dive deep into data visualization, statistical analysis, and reporting tools that are industry standards. The training prepares you for the technical rigors of interviews and the daily responsibilities of a professional analyst.
Managers making data-driven decisions
As a manager with data analitics skills, will be able to interpret dashboards and performance metrics and lead your teams with greater precision and confidence. The course focuses on 'data storytelling' helping you translate technical findings into strategic business moves. You will gain the ability to ask the right questions of your data team and justify your executive decisions with hard evidence.
Frequently Asked Questions
The course's sole focus is on essential data analytics concepts, such as statistical analysis and exploratory data analysis using software like Power BI and Tableau only.
