Data Science Student Learning Pack

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Data Science Video Lectures
Data Science Video Lectures

This is your opportunity to learn hands-on a wide variety of data science skills at this 1.5-hour online lecture. Your laptop must have Anaconda 3.6 pre-installed before you start learning.

This is your opportunity to learn hands-on a wide variety of data science skills at this 1.5-hour online lecture. Your laptop must have Anaconda 3.6 pre-installed before you start learning.

Why Do Businesses Around The World Still Need More Data Scientists Despite The Covid-19 Pandemic?

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Key Takeaways:

Effects of COVID-19 across industries

How can Data Science help

How long will it be in bloom

How can I make a transition

Open Q&A and Networking

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Join Now

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Key Factors That Help You Get Through In Data Science Hiring

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Key Takeaways:

How do people hire for a Data Scientist role

How to get noticed by recruiters

Who is getting placed

Data Science hiring cheat sheet

Data Science roles in the industry

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How To Make A Career Transition In Data Science :: The Switch From Sales To Data Science

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Key Takeaways:

What is Data Science?

What the market wants?

How to switch careers?

Why do people succeed?

Why do smart people fail?

Open Q&A and Networking

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Data Science at LinkedIn

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Key Takeaways:

Transition from Academics to Business

Importance of Story telling

How to get started

Data Science function

Data Science roles in the industry

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How to build Machine Learning Models using Logistic Regression

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Key Takeaways:

Understand data extraction, exploration and visualization

Learn how to prepare data for ML algorithms

Learn how to train and finetune models

Learn how to deploy into a serialized object for future use

Open Q&A and Networking

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Decision Trees in Machine Learning and its applications

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Key Takeaways:

Learn the intuition behind a decision tree

Learn how to build a decision tree and implement the same in Python

Understand the concept of overfitting

Understand the concept of Ensemble methods

Learn the intuition behind Random Forest

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Clustering Algorithms in Machine Learning and its applications

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Key Takeaways:

Understand your problem framework - Supervised vs. Semi-Supervised vs. Unsupervised Machine Learning

Clustering use cases

Types and working of different Clustering Algorithms

Implementation of clustering in python

The intuition behind clustering analysis

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Use Cases of Random Forrest in Machine Learning

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Key Takeaways:

Data Pre-processing

Feature Engineering

How to model using Linear Regression/Random Forests

Open Q&A and Networking

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Join Now

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Data Science Video LecturesData Science Video Lectures

Why Do Businesses Around The World Still Need More Data Scientists Despite The Covid-19 Pandemic?

Key Factors That Help You Get Through In Data Science Hiring

How To Make A Career Transition In Data Science :: The Switch From Sales To Data Science

Data Science at LinkedIn

How to build Machine Learning Models using Logistic Regression

Decision Trees in Machine Learning and its applications

Clustering Algorithms in Machine Learning and its applications

Use Cases of Random Forrest in Machine Learning

Data Science Video Lectures
Data Science Video Lectures