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
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.