Data Science Training

Making Sense of Data with Analytics

Data Science Training: Data Scientist has been called “the sexiest job of the 21st Century,”. We live in a world that’s drowning in data. Buried in these data are answers to countless questions that no one’s ever thought to ask. Data science is about evidence-based storytelling of this massive amount of data.

Objective of this course is to introduce necessary concept and techniques used in data science industry including, statistics, working with data, R programing and much more.

This course begins with a walk-through of a template data science project before diving into the R statistical programming language. You’ll learn how to load data into R and learn how to interpret and visualize the data while dealing with variables. You’ll be taught how to come to sound conclusions about your data, despite some real-world challenges. You’ll complete this course with the confidence to correctly analyze case studies, while sharing conclusions that will make a business more competitive and successful.

Course Outline

What is data science?

Overview of Data Science
Data Science as a Career
Data Science Team
What is Big Data
Big Data vs Business Intelligence

Field of Study

Why programming is Important
How Statistics Works
Importance of Mathematics

Introduction to R

R Graphical User Interface
Data Import and Export
Attributes and Data Types
Introducing Vectors, Matrices, Data Frame and Dates

Exploratory Data Analysis

Summarizing the Data
Data Distributions
Outlier Treatment
Measuring Asymmetry: Skewness and Pearson’s Median Skewness Coefficient
Continuous Distribution
Kernel Density
Sample and Estimated Mean, Variance and Standard Scores
Covariance, and Pearson’s and Spearman’s Rank Correlation

Statistical Inference

Points Estimates and Confidence Intervals
Testing Hypothesis Using Confidence Intervals
Testing Hypothesis Using p-values
Errors Types
Simple Linear Regression
Multiple Linear Regression

Data Visualization in R

Data Visualization Principles
Plots
Barplots
Heatmaps
Scatterplots
Box and Whisker plots
ggplot2

Communicating

Interpretability
Actionable Insights
Visualization for Presentation
Reproducible Research

Course Benefits

Engage yourself in Data Science and boost your career
Understand the art and science of discovering patterns and making intelligent predictions from big data.
Basics of R platform, programming language concepts, common and useful R commands, and applying statistical methods.
Discover how to understand, interpret and convey the results of data science life cycle.