Overview
Data Analysis Course
Course Duration: 4 months
Fee: ₦320,000
Class Schedule: Weekdays: Mondays, Wednesdays, and Fridays. Weekend: Saturday and Sunday (Time: 10am to 2pm).
Course Description
This Data Analysis course is designed to equip you with the skills and tools needed to collect, process, analyze, and visualize data effectively. Whether you are new to data or looking to refine your skills, this course offers a hands-on approach to understanding data-driven decision-making.
Through real-world projects, you’ll master the techniques used by industry professionals, from data cleaning and wrangling to building insightful dashboards and reports. By the end of the course, you’ll be ready to pursue a career in data analysis or apply analytical skills in any field.
What You Will Learn
- Introduction to Data Analysis:
- Understanding the data analysis lifecycle.
- The role of a data analyst in decision-making.
- Data Collection and Cleaning:
- Gathering data from various sources (databases, APIs, and files).
- Cleaning and preparing data using Excel, Google Sheets, and Python.
- Data Exploration and Analysis:
- Exploratory Data Analysis (EDA) to uncover trends and patterns.
- Working with Python libraries like Pandas and NumPy.
- Data Visualization:
- Creating visualizations using Matplotlib, Seaborn, and Tableau/Power BI.
- Building interactive dashboards to present data insights.
- Statistical Analysis:
- Basic statistics and probability concepts.
- Hypothesis testing and regression analysis.
- Database Management and SQL:
- Writing queries to extract and manipulate data.
- Understanding database concepts and relationships.
- Soft Skills:
- Communicating data insights to non-technical audiences.
- Building storytelling skills for impactful presentations.
- Capstone Project:
- Analyze a real-world dataset to identify actionable insights and create a professional dashboard for presentation.
What You Will Be Able to Do by the End of the Training
- Analyze complex datasets to uncover meaningful trends and insights.
- Create professional dashboards and reports to aid in decision-making.
- Use Python and SQL to process, manipulate, and analyze data efficiently.
- Visualize data effectively with charts, graphs, and interactive dashboards.
- Conduct statistical analyses to solve business problems.
- Present data-driven solutions and recommendations confidently to stakeholders.
- Work as a Data Analyst, Business Analyst, or enter other data-focused roles in any industry.
Requirements
- A personal computer with internet access.
- Basic computer literacy.
- Familiarity with Microsoft Excel or Google Sheets (preferred but not mandatory).
- A strong willingness to learn and solve problems with data.
Who This Course Is For?
- Beginners interested in starting a career in data analysis.
- Professionals looking to upskill and use data in decision-making.
- Entrepreneurs who want to analyze and leverage business data effectively.
- Students and career changers eager to enter the data-driven tech industry.
Why Enroll in This Course?
- Learn from experienced mentors using real-world datasets.
- Gain proficiency in Python, SQL, and visualization tools.
- Build a portfolio with projects to showcase to potential employers.
- Job readiness with career guidance and soft skills training.
- Flexible payment plans available.
Start your journey into data analysis and unlock opportunities in the data-driven world!
Course Features
- Lecture 0
- Quiz 0
- Duration 16 weeks
- Skill level All levels
- Language English
- Students 15
- Assessments Yes