Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.

 Data Science Course

  1. Introduction to Data Science

  1. Introduction/Definitions

  2. Fundamental of Data science

  3. Tools and skills

  1. SQL for Data science

  1. Relational database Concepts

  1. Python for Data Science

  1.  Python for Data Analysis – NumPy

  2.  Python for Data Analysis – Pandas

  3. Python for Data Analysis - Scipy

  1. Exploratory Data Analysis(EDA)

  1. Cleaning Data

  2. Feature Engineering

  3. Data Visualization And Wrangling Of Data

  4. Outlier Detection

  1. Visualization

  1. Python for Data Visualization – Seaborn

  2. Python for Data Visualization – Matplotlib

  1. Machine Learning

  1. Supervised Machine Learning:

  1. Linear Regression

  2. Logistic Regression

  3. Decision Tree

  4. Support Vector Machine

  1. Unsupervised Machine Learning:

  1. Clustering 

  2. Association

  1. Time Series Analysis with Python:

  1. ARMA Model

  2. ARIMA Model


  1. Datawarehouse/ Data Mining/ Business Intelligence


  3. Capstone Project

As per your time.

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