OUR ACADEMY

The Curriculum

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The curriculum integrates the necessary set of competencies required to demonstrate the ability to analyse and present the result of analysis using graphs and charts.

The Course Structures

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In your learning journey, you will be exposed to programming skills using Python, be able to interact with databases using SQL (structured query language), analyse data using statistical techniques and perform predictions using advanced statistical techniques like regression analysis. A holistic approach to making you job ready, we ensure that learners are also equipped with necessary behavioural competencies like working with a team, stakeholder management and presentation skills.

Curriculum Details

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All topics related to computer programming, database management and statistics are designed and delivered keeping in mind the novice audience.

The course curriculum incorporates two key milestones marked by mid-term projects involving data analysis using Python and communicating the result of your analysis to non-technical stakeholders. The end term project allows you to analyse data using predictive modelling techniques for analysing trends. To achieve the learning outcomes, the design of the program is based on "learning by doing"; every day your learning involves an activity based approach.

Post Course

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Upon successful completion of this program, you will not only be job ready to embark into the exciting world of data analytics, but also be confident to explore other specialisations in data analytics like advanced data visualisation or predictive modelling using machine learning and artificial intelligence.