Introduction to Data Science for Analysts

R is one of the most in-demand skills for today’s data science job market

Take your data science skills to the next level to improve your productivity and career prospects.

Whether you are currently studying in the field of data science, aspiring to play a key role on a data science team, or already a data scientist, this introduction will provide a great glimpse at the real world of data science. You will acquire the right knowledge and skills for data preparation, wrangling, preprocessing, and analysis, while answering many of your questions to help navigate a data science career path.

 

Here is what you will master in a quick 4 day training class and lab session:

Data Science Basics

 

1) Getting & Loading Your Data

  1. Mining Datasets
  2. Access Your Data Anywhere
  3. Big Data, EDW, CRM, ERP or Social Media
  4. Data formats: csv, xlsx, hive, spark, html, API etc.
  5. Load Data From local File or remote URL

 

2) Understand Your Data Using Descriptive Statistics

  1. Class Distribution
  2. Data Summary
  3. Standard Deviations
  4. Skewness
  5. Correlations
  6. Hands On Lab

 

 

 

 

3) Understand Your Data Using Data Visualization

  1. Get Best Results with QPlot, GGPlot, GGViz
  2. Univariate and Multivariate Visualization
  3. Tips For Data Visualization
  4. Hands On Lab

 

4) Prepare Data for Predictive Modeling

  1. Data Pre-Processing
  2. Scale, Center, Standardize and Normalize Data
  3. Box-Cox and Yeo-Johnson Transform
  4. Principal Component Analysis Transform
  5. Independent Component Analysis Transform
  6. Tips For Data Transforms
  7. Hands On Lab

 

5) Inferential Statistics

  1. Frequentists vs Bayesians
  2. Hypothesis Testing
  3. Central Limit Theorem
  4. CI, P Value, ANOVA & T-test
  5. Common Pitfalls of Hypothesis Testing
  6. Hands On Lab Session

 

Bonus Lesson: R’s newest addition FlexDashboard building multi panel graphics rich dashboards

 

Fees:                  Register Before Sept 3rd       From Sept 4th

                                              $895                             $995

Saturday Schedule: Staring Sept 9th and for 4 consecutive sessions. Each session is broken into 4 hours of in depth topical concepts and presentations, followed by 1.5 hours of lab sessions.

Mon/Wed Schedule: Staring Sept 11th and for 4 consecutive weeks. Each session is broken into 2 hours of in depth topical concepts and presentations, followed by 1 hours of lab sessions.

Tues/Thurs  Schedule: Staring Sept 12th and for 4 consecutive weeks. Each session is broken into 2 hours of in depth topical concepts and presentations, followed by 1 hours of lab sessions.

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