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Data Analytics Using Python: Statistics and Analytics Fundamentals

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.


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What you’ll learn


In this learning resource you may acquire the compentencies demanded from companies these days. The most in demand technique within the educational resource that is often requested by organizations is Data Analysis. The most in demand tool is Python. You will also learn about Programming Skills, a trait often mentioned in job descriptions.

Who will benefit?


Contrasting material from this learning opportunity with nearly 10,000 data-related job descriptions, we determine that those in or pursuing Data Scientist roles would benefit the most.