Pre-requisite Mathematics training for Data Science

Course Name:- Learning essential Mathematics for Data Science  training

Date & Time: – 28th to 30th November 2018, 7 to 9 PM.

How to Join?

This training is FREE for enrolled candidate of Learn Data Science – Do Programming using Python & R, see complete course details here

Venue: –

3D4, 3rd Floor, D-Wing, Gundecha Onclave, Kherani Road, Next to Post Office, Sakinaka, Andheri (East), Mumbai – 400072.

Below is the syllabus: –

From data

  • to generate research questions
  • generate theory

Identify variables

  • generate hypothesis

Measure variables

  • Architect data to test theory

Analyse data

  • Graph data
  • Fit a model

Analysing using number quantitative
Analysing other than number qualitative

    1. Mean, Mode, Median
    2. Variance and Standard deviation Standard Error
    3. Probability and Conditional Probability
    4. Statistical models
      • Binomial
      • Geometric
      • Normal
      • Poison
      • Exponential
    5. Normal distribution
    6. Normal distribution
    7. Central limit theorem
    8. Hypothesis testing
    9. Correlation and Regression
    10. Bayesian Statistics
    11. Descriptive Statistics
    12. Random variables
    13. Chi square test
    14. T test
    15. Histograms

Key Features

  • No PPT’s completely practical training with example for simplified learning.
  • You have to just come with your book/pen, laptop and zeal of learning.
  • Mathematics course training designed all exclusively for creating better understanding as well as brush-up session for creating better foundation before commencing of Data Science training.

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