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Data Analytics Using Python: Statistics and Analytics Fundamentals

Description

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.Read more.

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Career Relevance by Data Role

The techniques and tools covered in Data Analytics Using Python: Statistics and Analytics Fundamentals are most similar to the requirements found in Data Scientist job advertisements.

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