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Gain insights into the fundamentals of Data Science and learn how to make logical predictions through your analysis.

2,999.00
Course Access

4 weeks, 2 days

Last Updated

June 5, 2021

Students Enrolled

24

Total Video Time

60 minutes

Certification

About The Course


Exploratory Data Analytics is the branch of Data Science that deals with the process of initial investigation and analysis of data to summarise, visualise and draw conclusions towards finding the inferences of the study. Data Forecasting is the process to predict future events based on the analysis of the existing trends shown by the past data. It forms the foundation of Machine Learning and gives a basic insight into how a Machine Learning Algorithm works.


Through the duration of this course, a student gets to learn how to analyse these patterns in data, base their analysis on relevant parameters as per the requirement of the data, forecast future outcomes and step into the world of building Machine Learning alogorithms.

EXPLORATORY DATA ANALYTICS:

  • Introduction to Data Analytics
  • Introduction to Anaconda and Jupyter. How to install Anaconda.
  • Introduction to Fundamentals Python in Data Analytics
  • EDA using the Numpy library
  • EDA using the Pandas library
  • EDA using Seaborn
  • Final Project
  • Industry Experience + Doubts
  • Technical Interview Training

DATA FORECASTING AND MACHINE LEARNING:

  • Introduction to Data Forecasting and Machine Learning
  • Inferential Statistics and Probability
  • Fundamentals of Machine Learning 
  • Linear Regression with statistics
  • Logistic Regression
  • Clustering k-means
  • Training Projects
  • Industry Experience + Doubts
  • Technical Interview Training
  • Final Project

Studens

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