Announcing the launch of our online course on Udemy and other online platforms.
Udemy course link is – https://www.udemy.com/course/datascience-e2e-beginnerscourse-machinelearning-dataanalytics/learn/lecture/25000096#overview
Data Science is a multi-disciplinary profession which requires a combination of 3 core skillsets
- Maths, Statistics, Probability, Algebra & Calculus
- Programming & Databases
- Business Knowledge & Problem Solving
The Objective of this course is to teach students how to do an End-2-End data science project
- From Problem definition, data sourcing, wrangling and modelling
- To analyzing, visualizing and deploying & maintaining the models
The course will cover the below data science concepts
Including a detailed data science process
And algorithm selection process for a problem and prediction type
This course is for anyone interested in learning data science – analyst, programmer, non-technical professional, student, etc.
Having seen available data science courses and books, we feel there is a lack of an End 2 End approach
- Quite often you learn the different algorithms but don’t get a holistic view, especially around the process and deployment
- Also, either too much or limited mathematical details are provided for different algorithms
The End 2 End Data science course will be divided into 4 parts
- Part 1 is a Beginner’s course that covers basic Machine Learning and Data Analytics
- Part 2 will cover Intermediate and Advanced machine learning techniques – Deep Learning and NLP (Natural Language Processing)
- Part 3 will cover Advanced machine learning techniques – Reinforcement Learning and Computer Vision
- Part 4 will cover Data Engineering – Databases and Big Data tools (Hadoop, Spark)
Throughout the course detailed lectures covering the maths/logic of the algorithms, python code examples and online resources are provided to support the learning process
Course material including python code and data is available at – https://github.com/datawisdomx/DataScienceCourse
