Data Science Career Program
Learn Data Science from Scratch
Enroll and start learning before offer ends
A Data scientist is the top ranking professional in any analytics organization. Glassdoor ranks Data Scientists first in the 25 Best Jobs for 2019. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.
Companies that hire Data Scientists
Program Overview
Data Science Intro Video
Overview of Machine Learning
Introduction to Machine Learning
Roadmap for learning Machine Learning
How to Learn Machine Learning
Evaluate Your Skill
What is Supervised learning and Linear Regression?
How Supervised Learning Works
Supervised Learning And Linear Regression Part 1
Evaluate your Skill
Supervised Learning And Linear Regression Part 2
Evaluate your Skill
Supervised Learning And Linear Regression Part 3
Test Yourself
Supervised Learning And Linear Regression Part 4
Supervised Learning And Linear Regression Part 5
Test Yourself
What is Regression?
Types of Regression
How To Choose Correct Regression Model?
Regression Part 1
Regression Part 2
Linear Model
Test Yourself
What is logistic regression?
Logistic regression assumptions
Logistic Regression Part 1
What is logistic regression used for?
What are the different types of logistic regression?
Logistic Regression Part 2
What are the advantages and disadvantages of using logistic regression?
Test Yourself
What is Model Evaluation?
Model Evaluation Part 1
Model Evaluation Techniques
Model Evaluation Part 2
Test Yourself
What is Tree Based Model?
What is a Decision Tree ? How does it work ?
Important Terminology related to Tree based Algorithms
Tree Based Models Part 1
Advantages and Disadvantages of Tree Based Model
Tree Based Models Part 2
Regression Trees vs Classification Trees
Test Yourself
What is Random forest ?
How does it work?
Random Forest Part 1
Random Forest Part 2
Pros and Cons of Random Forest
Test Yourself
What is Support Vector Machine?
Types of SVM
Hyperplane and Support Vectors in SVM
How does SVM work?
Support Vector Machine
Pros and Cons associated with SVM
Test Yourself
What is Naive Bayes Classifier Algorithm ?
Bayes' Theorem
Working of Naïve Bayes' Classifier
Naive Bayes Classifier
What are the Pros and Cons of Naive Bayes?
Navie Bayes classifier
Test Yourself
What is Clustering?
Types of Clustering
Clustering Part 1
Clustering Part 2
Types of Clustering Algorithm
Applications of Clustering
Test Yourself
Introduction
Association Rules Part 1
Association Rules Part 2
Rule Evaluation Metrics
Test Yourself
What is Time Series data?
What is a time series problem?
Components of TIme Series
Time Series Forecasting Part 1
Time series analysis vs time series forecasting
Test Yourself
Time Series Forecasting Part 2
What are time series forecasting methods?
Test Yourself
Time Series Forecasting Part 3
Developing your own time series model
Test yourself
What is natural language processing?
Natural Language Processing Part 1
Natural Language Processing Part 2
Natural Language Processing Part 3
What is NLP used for?
How does Natural Language Processing Works?
What are the techniques used in NLP?
Test Yourself
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