Data Analytics with Python| Introduction | Free Online Course | Alison

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Introduction to Data Analytics with Python

This free online course takes you through the fundamentals of data analytics with Python programming language.

Data Science
Free Course
Python is a great programming language for data analytics. This course introduces you to the basics and fundamentals of data analytics, including core aspects of python programming. The course covers such opportunities that arise by studying data analytics, including the determination of credit risks, and the development of new medicines. By the end of this course, you will have a great understanding of the major types of data analytics.
  • Duration

    1.5-3 Hours
  • Assessment

  • Certification

  • Responsive

  • Publisher

  • Accreditation






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Python is used as a programming language for data analytics because it contains tools with outstanding mathematical and statistical performance. The mentioned factor is a primary reason why professionals in the field of data analytics around the world use the Python programming language. This free online course on the Introduction to Data Analytics and Python Fundamentals begins by explaining the meaning of data analytics, the importance and types of data.

The course explains how data analytics is used in today’s business environment. You will learn about the relationship between statistics, analytics and data science. You will be introduced to the different levels of data analytics and how each level brings about different work complexity. You will study the concept of variables and how they can be manipulated to take different values. You will also get to learn more about the process by which data is generated by humans.

The free online course then explains the process of the installation of the Python programming language, and the fundamentals of the Python programming language. You will become better informed about the descriptive and diagnostic analysis used in data analytics and their relevance in business intelligence. Get started with this exciting course today to improve your knowledge of data analysis and current realities of today’s business world.

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Learning Outcomes

Upon successful completion of this course, you will be able to: 

  • Define data and its importance 
  • Define analytics and its types 
  • Explain why data analytics is important in today's business environment 
  • Explain the relationship between statistics, analytics and data science
  • Describe the different levels of data analytics
  • Discuss why python is used in data analytics 
  • Describe how to install python and the fundamentals of python programming 
  • Explain the concept of data visualization
  • Explain the measure of central tendency and dispersion 
  • Describe variance and standard deviation of grouped data
  • Discuss the major types of data analytics
  • Explain how data helps in the understanding of the consumer market 
  • Describe how the measure of central tendencies yield information about particular places of locations in a group of numbers 


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