eLearnAfrica
Data Analytics Using Python: Statistics and Analytics Fundamentals
FutureLearn
  • Start Date: 26 Jul, 2021
  • 4 weeks
  • Study Content: Videos


Learn the fundamentals of statistics and data analysis using Python

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

Do you want to make your organisation’s data more valuable? The first step is organising and structuring it for analysis. Data analysts need to use databases and other technologies to efficiently collect, organise and manipulate this data.


This course will help you learn how to confidently use the Python programming language to analyse data and conduct data modelling.


Familiarise yourself with data analytics techniques


You’ll compare data analytics and advanced data analytics, and discuss the fundamentals of statistics and its application in data analytics.


You’ll learn a range of different techniques that will enable you to manipulate data in different ways, and adjust your approach to suit the subject, circumstances, and time you have available.


Learn new Python functions


You’ll also use Python to support data wrangling and ingestion, and learn advanced data analysis techniques including data mining and machine learning.


As you solidify your new knowledge by reviewing real-world examples and theories, you’ll develop critical employability skills and a foundational knowledge in Python to set yourself apart from other candidates when applying for jobs across a range of industries.


Boost your career with data analytics skills


This course will further any prior understanding you have of working with data and analytics, and you’ll be able to add Python skills to your CV.


Upon completion of the full ExpertTrack, you’ll have the knowledge and confidence you need to apply your skills in a real-world professional setting.


This course is suitable for:



  • business analysts or junior data analysts looking to develop their advanced data analytics skills and programming capabilities to achieve career progression within data analytics

  • those with existing programming capabilities looking to start a career in data analytics

  • those lacking the programming capabilities to conduct more advanced data analysis and modelling


During the course we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

FutureLearn

This university is part of the partnership between eLearnAfrica and FutureLearn.

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
COLLABORATION POLICY

By enrolling in a course on or through eLearnAfrica, you are joining a special worldwide community of learners. The aspiration of eLearnAfrica is to provide anyone with an internet connection access to courses from the best universities and institutions in the world and to provide our learners the best educational experience internet technology enables. You are a part of the community that will help eLearnAfrica achieve this goal. eLearnAfrica depends upon your motivation to learn the material and to do so with honesty and academic integrity. In order to participate in eLearnAfrica, you must agree to the Honor Code below and any additional terms specific to a class.

ELEARNAFRICA HONOR CODE PLEDGE

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  • Additional actions may be taken at the sole discretion of eLearnAfrica and eLearnAfrica course providers. 

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CHANGING THE HONOR CODE

Please note that we review and may make changes to this Honor Code from time to time. Any changes to this Honor Code will be effective immediately upon posting on this page, with an updated effective date. By accessing the App and/or Site after any changes have been made, you signify your agreement on a prospective basis to the modified Honor Code and any changes contained therein. Be sure to return to this page periodically to ensure familiarity with the most current version of this Honor Code.

Effective Date: September 22, 2016