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Data Analytics

(9 students)

This course includes:

12:25:00 hours

CPD Accreditation

12 units

Full lifetime access

Access on mobile and TV

Certificate of completion

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One Education
Course Publisher

One Education

Key Concepts Covered by This Free Course

  • Understand the world of data and its applications.
  • Learn the basics of data analytics, including statistics and data mining.
  • Develop an understanding of the data analysis process and the tools used.
  • Learn to gather and store data effectively.
  • Acquire knowledge of data visualization techniques and tools.
  • Apply data analytic thinking to solve real-world problems.

Course Overview

Data analytics is an emerging field that involves analyzing and interpreting complex data sets to identify patterns and gain insights. The Data Analytics course offers a comprehensive understanding of data analytics, including statistics, data mining, and data visualization. This course is designed for individuals who want to pursue a career in data analytics or enhance their existing knowledge. The course comprises modules that cover the basics of data analytics, the data analysis process, tools, data visualization techniques, and data-analytic thinking. It also covers topics such as gathering and storing data effectively, Excel for data analytics, and data visualization tools. By the end of the course, learners will be able to apply data analytic thinking to solve real-world problems and gain insights from complex data sets. Enrol in the Data Analytics course today and take the first step towards a successful career in data analytics.

Course Benefits 

The Data Analytics course provides learners with helpful knowledge and skills required to succeed in the field of data analytics. The course covers the basics of data analytics, including statistics and data mining. Furthermore, learners can develop an understanding of the data analysis process and the tools used. This course offers knowledge of gathering and storing data effectively, enabling learners to manage data sets efficiently. Moreover, learners can acquire knowledge of data visualization techniques and tools, allowing them to present insights effectively. By the end of the course, learners will be able to apply data analytic thinking to solve real-world problems and gain insights from complex data sets, ensuring a successful career in data analytics.

Career Path

  • Data Analyst: A professional who analyzes and interprets complex data sets to identify patterns and gain insights.
  • Business Intelligence Analyst: A professional who analyzes and interprets business data to provide insights and support decision-making.
  • Data Scientist: A professional who uses advanced statistical and machine learning techniques to analyze and interpret complex data sets.
  • Database Administrator: A professional who designs, implements, and manages databases, including data security and backup procedures.
  • Data Visualization Designer: A professional who designs and creates visual representations of data to communicate insights effectively.
  • Quantitative Analyst: A professional who uses mathematical models and statistical analysis to solve complex business problems.
Course content

Data Analytics

01: Introduction to the World of Data

01:00:00

02: Basics of Data Analytics

00:40:00

03: Statistics for Data Analytics

01:00:00

04: Actions Taken in the Data Analysis Process

00:55:00

05: Gathering the Right Information

01:00:00

06: Storing Data

01:15:00

07: Data Mining

01:00:00

08: Excel for Data Analytics

01:20:00

09: Tools for Data Analytics

01:20:00

10: Data-Analytic Thinking

01:10:00

11: Data Visualisation That Clearly Describes Insights

00:45:00

12: Data Visualisation Tools

01:00:00

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About Course Publisher

One Education
One Education

238 Courses

One Education offers a range of courses designed to advance your professional skills, boost your CV and enhance your career. All our courses offer a variety of learning materials including video and audio lectures, online exams, test areas, as well as traditional handouts.

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