The Absolute Beginners Guide to Data Science
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 49 lectures (41 hour, 09 mins) | Size: 16.1 GB

Build your mathematics and statistics foundations strongly and ensure your Data science fundamentals are in place!
What you'll learn

You will gain a firm foothold of the fundamentals of Data Science. The course provides the entire toolbox you need to become a data scientist.
You will understand the mathematics and statistics behind Machine Learning
You will understanding the Octagonal Technical Facets of Data Science
You will start coding in Python and learn how to use it for statistical analysis
You will improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
You will unfold the power of deep neural networks
You will carry out cluster and factor analysis
You will learn how to pre-process data
Impress interviewers by showing an understanding of the data science field
Apply your skills to real-life business cases
Learn the degrees of freedom, mathematical operations
Learn the art of Data Visualization
Learn Histogram, Boxplot, Scatter Plot, Co-variance and Correlation
Write programs in R

Requirements

No prior experience is required. We will start from the very basics

Description

What will I Learn and Apply post-program:

We build your foundation by going through the basics of Mathematics, Statistics and Machine Learning using our foundation training program on Data Science - DS1 Module:

In our DS1 Module You will Learn:

1)Descriptive & Inferential Statistics

2)Data Visualization

3)Python Programming

4)Data Distributions - Discrete/Continuous

5)Matrix Algebra, Coordinate geometry & Calculus

6)CRISP-DM Framework 7)Machine Learning - Part 1

8)Python Programming - Adv

9)Simple & Multiple Linear regression with case studies

A Data Scientist dons many hats in his/her workplace. Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms

Data Analytics career prospects depend not only on how good are you with programming —equally important is the ability to influence companies to take action. As you work for an organization, you will improve your communication skills.

A Data Analyst interprets data and turns it into information that can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends – as such a Data Analyst job description should highlight the analytical nature of the role.

Key skills for a data analyst