Certificate In Data Analysis

Course Title: Certificate in Data Analysis

Course Duration: 3 months

Tuition Fee: Ksh.10,000

Course Schedule: 2 hours a day, Monday to Friday

Course Overview: The Certificate in Data Analysis course provides participants with the fundamental skills and knowledge required to analyze and interpret data effectively. This course is designed for beginners and professionals seeking to enhance their data analysis capabilities.

Course Objectives:

• Understand the basic concepts and principles of data analysis.

• Learn various data collection methods and data cleaning techniques.

• Gain proficiency in using statistical software and tools for data analysis.

• Develop skills in data visualization and interpretation of results.

• Apply data analysis techniques to real-world problems and datasets.

Course Content:

1. Introduction to Data Analysis

   • Definition and importance of data analysis

   • Types of data and data sources

2. Data Collection and Cleaning

   • Methods of data collection

   • Data cleaning and preprocessing techniques

3. Statistical Concepts

   • Descriptive statistics

   • Inferential statistics

   • Probability theory

4. Data Analysis Tools and Software

   • Introduction to Excel for data analysis

   • Introduction to R and Python for data analysis

   • Using statistical software (SPSS, SAS)

5. Data Visualization

   • Principles of effective data visualization

   • Creating charts and graphs using Excel, R, and Python

   • Advanced data visualization tools (Tableau, Power BI)

6. Practical Applications of Data Analysis

   • Analyzing real-world datasets

   • Case studies and project work

   • Presentation and interpretation of data analysis results

Learning Outcomes: Upon successful completion of this course, participants will be able to:

• Collect, clean, and preprocess data for analysis.

• Apply statistical methods to analyze data and draw meaningful conclusions.

• Use various tools and software to perform data analysis.

• Create effective data visualizations to communicate findings.

• Solve real-world problems using data analysis techniques.

Target Audience:

• Beginners interested in learning data analysis

• Professionals looking to upgrade their data analysis skills

• Students pursuing careers in data science, business analysis, and related fields

Prerequisites:

• Basic computer skills

• Familiarity with basic mathematics and statistics (recommended but not required)

Instructor:

• Experienced data analyst with industry expertise

Assessment and Certification:

• Continuous assessment through assignments and projects

• Final examination

• Certificate awarded upon successful completion of the course