Data Science with Python Certification Training with Project

Data Science with Python Certification Training with Project

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