Analytics Expert Program is the best program for anyone to get started and learn Analytics from Scratch to Implementation.
Key Program Benefits:
• Essential Math and Stats for Analytics - Unique Thinking in Analytics approach using innovative techniques & excel
• Business Intelligence - Learn how to transform, reshape, prepare data for modeling using Power BI or Tableau
• Programming for Data Analytics - Understand how to analyze data using R or Python
• Predictive Modeling - Learn how to convert data to insights by applying fundamental statistical learning techniques
• Advanced Machine Learning - Improve model accuracy and performance by using cutting edge ML algorithms & its applications
• Other Data Analytics Aspects - Get an introduction to AI Applications, Big Data Ecosystem and Big Data Analytics.
Course Modules:
• Module 1: Essential Math and Stat for Analytics: Provide a strong statistical thinking with a good understanding of the applications of probability, calculus and linear algebra in model building. Build a strong reasoning framework to convert any business problem into an inferential analytics framework.
• Module 2: R for Data Science: Provide a solid foundation in programming concepts required for a successful data analyst and data scientist. We learn to use R to perform data analysis and visualization. Additionally, we inculcate skills to investigate data issues interactively using R Studio.
• Module 3: Python for Data Science: Provide a solid foundation in programming concepts required for a successful data analyst and data scientist. We learn to use Python to perform data analysis and visualization. Additionally, we inculcate skills to investigate data issues interactively using Spyder.
• Module 4: Machine Learning Algorithms & Implementation: Convert raw data into insights and help understand what factors drive a specific business outcome and to what extent. We help in building strategies to link these models to business actions.
• Module 5: Other Aspects of Data Science: To get a robust understanding of Data Science, knowledge of a few other topics is very crucial. We will mainly focus on some of the other important topics needed for a Data Science professional in this section
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