Data Analysis (Subscription-Based)
You will learn the concepts of data algorithms, structures, python programming, statistical foundations, machine learning and more.
Subscribe to our monthly membership of just N10,000 to get full access to the course.
WHY IS IT SO IMPORTANT TO LEARN TECH EASILY NOW?
- JOB LOSS/UNEMPLOYMENT: According to the World Economic Forum’s Alarming Future of Jobs Report 2023, nearly a quarter of all jobs (23%) globally will change in the next five years. Across 45 economies, covering 673 million workers, and 83 million jobs will be eliminated. Technology, Automation and Artificial intelligence will replace some 85 million jobs by 2025.
- ECONOMIC HARDSHIP/POOR PURCHASING POWER: Nigeria’s economy has hit boiling point with over 150 million Nigerians living below the poverty line. With the current economy, the naira has lost 70% of its value and fuel costs are soaring and the prices of food and transport have tripled.
- LOSS OF OPPORTUNITIES: Sadly, without a tech skill you can hardly appeal for promotions or get job growth opportunities, work remotely from the comfort of your home, increase your earnings, or even take advantage of global opportunities that technology has to offer.
WHAT YOUR TRANSFORMATION WOULD LOOK LIKE IN FEW DAYS
- CONFIDENCE, REDUCED ANXIETY AND INTIMIDATION IN LEARNING TECH: As a platform that demystifies the complications of learning a tech skill, we will make you confident as a technology professional in a few days with our easy to learn and convenient learning.
- AN EMPOWERED TECH PROFESSIONAL: As an empowered tech professional your earning status and income will change immediately as you can earn in foreign currencies or get an increase in your salary, transition to a new job/company, get the needed promotion, get a global/international job and relocate abroad, travel the world as a digital nomad, travel for vacation, have more purchasing power and spend more quality time with family.
- CONTROL YOUR LIFE WITH REMOTE WORK: You now have the power to control your life and time as you can work remotely at the comfort of your home.
This course is designed to provide participants with the essential skills and knowledge required to analyze large data sets using Microsoft Excel. The course covers advanced Excel functions, data visualization, and data modeling techniques.
Students will learn how to import, clean, and transform data, and how to apply statistical methods to analyze data. They will also learn how to create charts, graphs, and dashboards using Excel.
What You’ll Learn
- Essential Excel functions for data analysis.
- Creating pivot tables and charts.
- Data cleaning and manipulation techniques.
- Advanced formulas for data analysis.
- Statistical analysis in Excel.
- Visualizing data trends with charts and graphs.
- Data wrangling and preprocessing techniques.
Ready to get started? Click on the subscribe now button. You can also get started with our free trial here.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making.
Data analysis is a valuable skill for anyone working with data in their job, such as business analysts, data scientists, researchers, and marketers. Learning data analysis on an e-learning platform can benefit professionals looking to advance their careers or anyone interested in learning more about data analysis.
Our Data analysis course covers topics such as data visualization, data cleaning, exploratory data analysis, etc. You can check the course curriculum to have a better understanding.
The software needed may vary depending on the course, but common tools for data analysis include Microsoft Excel, R, Python, SQL, and Tableau and PowerBI
No, our courses are beginners-friendly. However, having a basic understanding of these topics can be helpful.
Requirements
- A computer or laptop with a reliable internet connection
- Software for Data analysis such as Microsoft Excel, Microsoft PowerBI, and SQL, R, Python, etc.
- Time and commitment
- Willingness to learn