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Data Science with Python Certification Training with Project [Free Online Course] - TechCracked

Data Science with Python Certification Training with Project

Start your career as Data Scientist from scratch. Learn Data Science with Python. Predict trends with advanced analytics

This course includes:

  • 44.5 hours on-demand video
  • 36 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

What you'll learn

  • End-to-end knowledge of Data Science
  • Prepare for a career path as Data Scientist / Consultant
  • Overview of Python programming and its application in Data Science
  • Detailed level programming in Python - Loops, Tuples, Dictionary, List, Functions & Modules, etc.
  • Decision-making and Regular Expressions
  • Introduction to Data Science Libraries
  • Components of Python Ecosystem
  • Analysing Data using Numpy and Pandas
  • Data Visualisation with Matplotlib
  • Three-Dimensional Plotting with Matplotlib
  • Data Visualisation with Seaborn
  • Introduction to Statistical Analysis - Math and Statistics
  • Terminologies & Categories of Statistics, Correlation, Mean, Median, Mode, Quartile
  • Data Science Methodology - From Problem to Approach, From Requirements to Collection, From Understanding to Preparation
  • Data Science Methodology - From Modeling to Evaluation, From Deployment to Feedback
  • Introduction to Machine Learning
  • Types of Machine Learning - Supervised, Unsupervised, Reinforcement
  • Regression Analysis - Linear Regression, Multiple Linear Regression, Polynomial Regression
  • Implementing Linear Regression, Multiple Linear Regression, Polynomial Regression
  • Classification, Classification algorithms, Logistic Regression
  • Decision Tree, Implementing Decision Tree, Support Vector Machine (SVM), Implementing SVM
  • Clustering, Clustering Algorithms, K-Means Clustering, Hierarchical Clustering
  • Agglomerative & Divisive Hierarchical clustering
  • Implementation of Agglomerative Hierarchical Clustering
  • Association Rule Learning
  • Apriori algorithm - working and implementation

Who this course is for:

  • Data Scientists
  • Data Analysts / Data Consultants
  • Senior Data Scientists / Data Analytics Consultants
  • Newbies and beginners aspiring for a career in Data Science
  • Data Engineers
  • Machine Learning EngineersSoftware Engineers and Programmers
  • Python Developers
  • Data Science Managers
  • Machine Learning / Data Science SMEs
  • Digital Data Analysts
  • Anyone interested in Data Science, Data Analytics, Data Engineering

Also See : Python Programming™ - Basics, Multithreading, OOP and NumPy

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