Data Science & data analytics for beginners 2019-08-31T08:35:59+00:00

Data Science for beginners

Get familiar with Data Science & data analytics learning Techniques for beginners.

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Why pursue Data Science:

Data Science is the most preferred subject in the industry as of trend having a huge demand for professionals who got trained in it.

There are so many data science algorithms to build predictive models, such as logistic regression, linear regression, decision trees and random forests. The potential of data science is limitless – spanning across industries, having various roles and functions to perform.

Course Details

  • Understand what data science is and diverse applications of it.
  • Common data science terminologies or syntax.
  • Python from scratch – programming experience not required!
  • Understand how to use Jupyter Notebooks for data science and also get familiar with Python libraries like Numpy, Pandas
  • Measures of central tendency such as mean, median, mode
  • Standard deviation
  • Outlier detection
  • Correlation
  • Hypothesis Testing
  • Confidence Intervals & margin of error
  • Chi-squared test
  • Introduction to Probability and its concepts for data science
  • Central Limit Theorem
  • Bernoulli Trials
  • Basics of machine learning model building and Types of predictive models in data science
  • Overview of end-to-end data science process
  • Data extraction and data cleaning
  • Linear regression and Logistic regression
  • Decision trees
  • Random forests
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