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Why Choose Data Analytics Course (Beginner) from Us

  • Self-paced course, access available from anywhere.
  • Easy to understand, high-quality study materials.
  • Course developed by industry experts.
  • MCQ quiz after each module to assess your learning.
  • Automated and instant assessment results.
  • 24/7 support via live chat, phone call or email.
  • Free PDF certificate as soon as you complete the course.

Entry Requirement

There are no specific requirements for this course because it does not require any advanced knowledge or skills.

Students who intend to enrol in this course must meet the following requirements:

  • Good command of the English language
  • Must be vivacious and self-driven
  • Basic computer knowledge
  • A minimum of 16 years of age is required

Assessment Method

After completing each module of the Data Analytics Course (Beginner), you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification.

Certification

After completing the MCQ/Assignment assessment for this course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99.

Course Curriculum

Module 01: Introduction to Data Analytics
Module 01: Introduction to Data Analytics 00:40:00
Module 02: Basics of Data and Statistics
Module 02: Basics of Data and Statistics 00:20:00
Module 03: Data Collection and Sources
Module 03: Data Collection and Sources 00:30:00
Module 04: Data Cleaning and Preprocessing
Module 04: Data Cleaning and Preprocessing 00:25:00
Module 05: Exploratory Data Analysis (EDA)
Module 05: Exploratory Data Analysis (EDA) 00:30:00
Module 06: Introduction to Excel for Data Analytics
Module 06: Introduction to Excel for Data Analytics 00:20:00
Module 07: Introduction to Python for Data Analytics
Module 07: Introduction to Python for Data Analytics 00:15:00
Module 08: Data Wrangling with Pandas (Python)
Module 08: Data Wrangling with Pandas (Python) 00:20:00
Module 09: Data visualisation with Matplotlib and Seaborn (Python)
Module 09: Data visualisation with Matplotlib and Seaborn (Python) 00:15:00
Module 10: Introduction to Basic Statistical Analysis
Module 10: Introduction to Basic Statistical Analysis 00:20:00
Module 11: Introduction to Machine Learning
Module 11: Introduction to Machine Learning 00:25:00
Module 12: Capstone Project – Exploratory Data Analysis
Module 12: Capstone Project – Exploratory Data Analysis 00:20:00

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