About Course
Data Analysis is a highly sought-after skill as businesses and organizations rely on data-driven decisions to grow and stay competitive.
In this course, you will master essential techniques such as data collection, cleaning, visualization, and interpretation using industry-standard tools.
By the end, you will be able to transform raw data into actionable insights that support smarter strategies and problem-solving.
Who this course is for
- Beginners who want to start a career in data analysis with no prior experience.
- Professionals seeking to use data to improve decision-making in their roles.
- Entrepreneurs who want to track and analyze business performance effectively
- Students aiming to build practical, in-demand analytical skills for career growth
- Anyone interested in learning how to interpret data and present insights clearly
What you will learn
On Completion of the Course you will be able to:
- Collect and organize data from different sources.
- Clean and prepare raw data for accurate analysis.
- Analyze datasets to identify patterns, trends, and insights.
- Create clear data visualizations using tools like Excel, Power BI, or Tableau.
- Use basic statistical methods to interpret and validate findings.
- Present data insights in reports and dashboards for decision-making.
- Apply data analysis techniques to real-world business problems.
Course Outline
Here is an overview of the course segments:
- Introduction to Data Analysis: Understand the role of data analysis and its importance in decision-making.
- Data Collection and Organization: Learn how to gather, store, and structure data from different sources.
- Data Cleaning and Preparation: Master techniques for handling missing values, errors, and formatting issues.
- Exploratory Data Analysis: Analyze datasets to identify key patterns, relationships, and trends.
- Data Visualization: Create charts, graphs, and dashboards using tools like Excel, Power BI, or Tableau.
- Statistical Analysis: Apply basic statistical concepts to validate findings and support insights.
- Reporting and Presentation: Learn how to summarize and present results clearly for stakeholders.
- Practical Project in Data Analysis: Work on a real-world dataset to apply all skills learned and build a portfolio-ready projec:
Tools and Requirements
- ✓ A laptop or desktop computer
- ✓ Microsoft Excel,Power BI.
- ✓ Google account for collaboration and assignments.
- ✓ Classes will hold via Google Meet.
- ✓ No prior experience required
Duration and Access
- Course duration: 20 Weeks
- Time Commitment: 4-5 hours weekly
- Access: Lifetime Access to materials and updates
Tuition
For full Access to this course, you will be paying
₦20,000
Installment option available upon registration.
Why You Should Join Us.
- You get to acquire In-demand, marketable skills taught by industry experts.
- A certificate of completion to validate your expertise
- Practical, project-based learning you can apply instantly
- 100% online learning with flexible schedules
- Access to exclusive freelance and remote job boards
- Support with job hunting, interviews, and offer negotiation
- Practical assignments that build your portfolio
- Internship placement opportunities with partner organizations
- A vibrant global community of learners and professionals
- Optimization of your resume and portfolio
- Lifetime access to all course content and future updates
- Weekly live classes, Q&A sessions, and progress reviews
- Dedicated support via Slack and WhatsApp
- Structured accountability to keep you on track
- Entry into our alumni network for ongoing support and referrals
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