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DATA ANALYTICS
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3 months

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COURSE DURATION: 3 MONTHS

Data analytics professionals are projected to grow by 25% from 2023 to 2033, driven by AI, big data, and automation. Global jobs will increase from 10 million in 2023 to 12.5 million in 2033 and reach 13 million by 2034. Industries like finance, healthcare, and retail will fuel demand. The role remains crucial for business intelligence, forecasting, and decision-making. AI integration will further enhance its relevance in modern economies.

TOP CAREERS

  • Data Analyst: Interprets and visualizes data for business insights
  • Business Intelligence Analyst: Works with dashboards and reports
  • Uses statistical techniques to analyze datasets
  • Builds dashboards and reports to communicate findings
  • Identifies trends and patterns to aid decision-making
  • Works with SQL, Python, or R for data manipulation

COURSE CURRICULUM

  • Introduction to Data Analytics
  • Data Cleaning and Preprocessing
  • Data Visualization and Dashboarding
  • Statistical Analysis & Reporting

LEARNING OUTCOMES

  • SQL for Data Extraction & Management
  • Handling Real-World Datasets & Automation
  • Data Manipulation & Analysis with Python
  • Exploratory Data Analysis (EDA) & Business Insights
  • Data Visualization with Tableau
  • Introduction to Machine Learning & Predictive Analytics

Testimonials

"The lecturer made the training more lively and awesome, and he made us to understand so perfectly."

- Awonorin A. Ezekiel, Data Analytics

"Before coming here to take the course, I didn’t think I’d know anything concerning Data Analytics. But after taking the first class I knew that it was going to be smooth and easy. The methodology was simple and the tutor did an amazing job with putting us the students through every step. The learning environment is also very conducive. I have had the best time learning here and it was a great experience for me."

- Aroke Oreoluwa, Data Analytics