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