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The syllabus includes a comprehensive curriculum, which is designed on the basis of what most industries want from data science and analytics professionals.
Leaners will be introduced to the terms, jargon, history and impact of business intelligence and data analytics, scope and application of data analytics.
Key learning outcomes include Data types, visualization, usage and distribution, statistical inference, Big Data Anatomy, Forecasting, decision making, algorithms, machine learning etc.
At the end of the course, Learners will have acquired the technical knowledge and skills required for an effective data analyst.