Data Science

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Data Science

Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.

Data Science Course

Introduction and Importance of Data Science

Statistics

Information Visualisation

Data Mining, Data Structures, and Data Manipulation

Algorithms used in Machine Learning

Data Scientist Roles and Responsibilities

Data Acquisition and Data Science Life Cycle

Deploying Recommender Systems on Real-World Data Sets 

Experimentation, Evaluation and Project Deployment Tools

Predictive Analytics and Segmentation using Clustering 

Applied Mathematics and Informatics

Working on Data Mining, Data Structures, and Data Manipulation

Big Data Fundamentals and Hadoop Integration with R

Data Science Career

Data science expertise is highly sought-after because it leads to tangible and measurable business outcomes. As stated in Harvard Business Review, “Companies in the top third of their industry in the use of data-driven decision-making were, on average, 5% more productive and 6% more profitable than their competitors.

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