Data Science
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
For IT & Computer science Engineers
Course Type
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
For IT & Computer science Engineers
Course Type
Topic 1 | Introduction to Data Science
Topic 2 | Measure of Central Tendencies, Spread & Dispersion
Topic 3 | Probability Distribution
Topic 4 | Normal & Poisson distribution
Topic 5 | Working with dataset and packages
Topic 6 | SAS Installation & Introduction
Topic 7 | Measure of Central Tendencies
Topic 8 | Estimation and hypothesis testing
Topic 9 | Correlation in SAS
Topic 10 | ANOVA Test
Topic 11 | Internet Survey Case Study
Topic 12 | Regression
Topic 13 | Linear regression and Multi linear regression in SAS
Topic 14 | Logistic regression
Topic 15 | Cluster Analysis
Topic 16 | Time series & Forecasting
Topic 17 | Forecasting in SAS
Topic 18 | Advance Excel
Topic 19 | F- Test
Topic 20 | F- Test & T - Test
Topic 21 | Correlation & Regression
Topic 22 | Exponential Smoothing
Topic 23 | Project
Course Description
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. The ideal models are meant for creating the processes, designing advanced systems and exploring the theories in a better way. Data Science has created a new world of opportunities and make you see the ‘big picture’ of data.
Course objectives
Roles in industry
Course Highlights
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