COURSE OBJECTIVES

The Objective of this short course on Data Analytics with R is to equip professionals with essential skills to collect, process, and analyze data effectively. Participants will learn to create impactful visualizations, perform statistical analyses, and make data-driven business decisions. By the end of the course, they will be empowered to leverage data for strategic growth and informed decision-making.

KEY TOPICS

• Foundations of Data Analytics and R Programming
• Data Preparation and Cleaning in R for Effective Analysis
• Exploratory Data Analysis (EDA) and Visualization with R
• Statistical Analysis and Hypothesis Testing Using R
• Introduction to Machine Learning and Predictive Analytics in R
• Real-World Case Studies and Practical Applications of Data Analytics in R

LEARNING OUTCOMES

By the end of the course participants will be able to:

• To collect and preprocess data
• Create insightful visualizations, and perform statistical analyses
• Interpreting data to make informed business decisions,
• Leveraging data-driven insights for strategic growth and applying data analytics techniques to solve real-world business problems effectively.

TARGET PARTICIPANTS

 Data Analysts, BI Analyst, Data Engineers, Data Scientists and Data Managers; Business Professionals; IT Professionals; Finance and Accounting Professionals; Entrepreneurs; Students; Anyone Interested in Data-driven Decision-Making. Cost 750,000 TZS

Offered By : Computer Science and Engineering - College of Information and Communications Technology

OTHER DETAILS

Cost: 0

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