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KWETU Academy > Courses > Certification Courses > Introduction to Data Analytics
Certification Courses Data Science
Introduction to Data Analytics
KWETU Academy
Teacher

KWETU Academy

Last Update:

July 12, 2023

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About Course

This course is designed to provide beginners with a foundational understanding of data analytics. Students will learn essential concepts, tools, and techniques to gather, clean, analyze, and visualize data. By the end of the course, participants will be equipped with the skills to make informed decisions based on data-driven insights.

About Course

The “Introduction to Data Analytics” course is designed to equip participants with fundamental knowledge and skills in the field of data analytics. In today’s data-driven world, the ability to extract valuable insights from vast amounts of data has become essential for businesses and professionals across various industries. This two-week basic course serves as an entry point for individuals seeking to understand the core concepts and methodologies of data analytics and how to apply them effectively.

 

What Will You Learn?

  • Understand the data analytics process and its applications.
  • Learn techniques to clean, transform, and prepare data for analysis.
  • Gain familiarity with basic statistical analysis and data visualization.
  • Develop skills to create and present data-driven insights.

Course Content

Introduction to Data Analytics and Data Collection
In the first week of the "Introduction to Data Analytics" course, you will embark on an exciting journey into the world of data-driven decision-making. Discover how data analytics plays a pivotal role in various industries and learn about the step-by-step data analytics process. Delve into the different types of data, including structured, unstructured, and semi-structured data, and explore various data sources and collection methods. By the end of this week, you will have a solid understanding of the fundamentals of data analytics and be well-prepared to embark on your data exploration journey.

Data Cleaning and Preparation
In the second week, we delve into the crucial process of data cleaning and preparation, where the foundation for meaningful insights is laid. Explore the common challenges that messy data poses and learn effective techniques to tackle them. Discover how to deal with missing values, outliers, and inconsistencies, ensuring your data is reliable and accurate. Gain insights into data transformation and normalization methods, vital for making data analysis-ready. Moreover, get hands-on experience with essential data wrangling tools that simplify the entire process. By the end of this week, you'll be equipped with the skills to transform raw data into a polished, high-quality resource for informed decision-making.

Data Analysis Techniques
In Week 3, we dive into the realm of data analysis techniques, where the true potential of your data begins to unfold. Discover the power of exploratory data analysis (EDA) as you learn to uncover patterns, trends, and insights hidden within your datasets. Master descriptive statistics to effectively summarize and understand your data's key characteristics. Explore the art of data visualization, using charts, graphs, and plots to communicate complex information visually. Lastly, grasp the concepts of correlation and causation to make informed interpretations of relationships within your data. By the end of this week, you'll be able to extract valuable insights that lay the groundwork for data-driven decision-making.

Introduction to Data Visualization and Presentation

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KSh30,000.00
Enrollment validity: Lifetime
  • Intermediate
  • 2 Total Enrolled
  • 5 hours Duration
  • August 11, 2023 Last Updated
  • Certificate of completion
  • Instructor
    KWETU Academy
  • Language

Payment :

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Material Includes

  • Lecture slides and notes for each class.
  • Reading materials and resources for further exploration.
  • Sample datasets for hands-on practice.
  • Quizzes and exercises to reinforce learning.
  • Access to data visualization tools for practical application.

Requirements

  • Basic computer literacy.
  • Internet access for online resources and tools.
  • Familiarity with spreadsheets (recommended but not mandatory).

Tags

Audience

  • Beginners with little to no prior experience in data analytics.
  • Students interested in gaining foundational skills in data analysis.
  • Professionals seeking to enhance their decision-making with data-driven insights.
  • Anyone curious about the role of data analytics in various industries.
  • This course is designed to cater to individuals who are new to the field of data analytics. Whether you're a student exploring the world of data or a professional looking to bolster your skillset, this course provides a solid introduction to the key concepts and tools in data analytics. No prior experience is required, making it accessible to a wide range of learners from various backgrounds.

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