DataScience ONLINE TRAINING

DataScience COURSE CONTENT

    Introduction to Data Science

  • Introduction to Data Science
  • What is a Data Scientist
  • What is Data Science?
  • Problems Solved by Data Science
  • Pandas
  • Dataframes
  • Create a New Dataframe
  • Data Wrangling

  • What is Data Wrangling?
  • Acquiring Data
  • Common Data Formats
  • What are Relational Databases?
  • Introduction to Databases Schemas
  • API’s
  • Data in JSON Format
  • How to Access an API efficiently
  • Missing Values
  • Easy Imputation
  • Impute using Linear Regression
  • Tip of the Imputation Iceberg
  • Data Analysis

  • Statistical Rigor
  • Why is Stats Useful?
  • Introduction to Normal Distribution
  • T Test
  • Welch T Test
  • Non-Parametric Tests
  • Non-Normal Data
  • Stats vs. Machine Learning
  • Different Types of Machine Learning
  • Prediction with Regression
  • Cost Function
  • How to Minimize Cost Function
  • Coefficients of Determination
  • Data Visualization

  • Effective Information Visualization
  • Communicating Findings
  • Communicating Findings Well
  • Visual Encodings
  • Perception of Visual Cues
  • Plotting in Python
  • Data Scales
  • Visualizing Time Series Data
  • MapReduce

  • Big Data and MapReduce
  • Basics of MapReduce
  • Mapper
  • Reducer
  • MapReduce with Subway Data

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Testimonials

"The Bigdata Training was pretty good, it was a very good experience, and I am also looking forward to take more trainings from Mentors Inn on other technologies as and when required for me." -Sridevi (Hadoop)