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Learn the fundamentals of statistics and data analysis using Python.
SUMMARY |
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๐จโ๐ผ Sponsor: FutureLearn |
๐ Field: Data Analysis and Programming |
๐ Host:ย FutureLearn |
๐ Mode: Online |
๐ For more: Subscribe to Courses |
Description
Do you want to make your organisationโs 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
Youโll compare data analytics and advanced data analytics, and discuss the fundamentals of statistics and its application in data analytics.
Youโll 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.
SEE ALSO: Free Online Course on Data Analysis and Fundamental Statistics |
Learn new Python functions
Youโll 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, youโll develop critical employability skills and 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 youโll be able to add Python skills to your CV.
Upon completion of the fullย ExpertTrack, youโll have the knowledge and confidence you need to apply your skills in a real-world professional setting.
What topics will youย cover?
- Introduction to data analytics using Python
- Statistics
- Introduction to Python programming
- Data structures, sequences and functions
SEE ALSO: Free Online Course Object-oriented Programming in Python: Create Your Own Adventure Game |
Who is the course for?
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
What software or tools do you need?
During the course, weโll be using Jupyter notebook. We recommend you use a computer to access these elements.
Note:ย See other free online courses here.
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