The Absolute Beginners Guide to Data Science
- Self-paced with Life Time Access
- Certificate on Completion
- Access on Android and iOS App
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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:
- Descriptive & Inferential Statistics
- Data Visualization
- R Programming
- Data Distributions - Discrete/Continuous
- Matrix Algebra, Coordinate geometry & Calculus
- CRISP-DM Framework
- Machine Learning - Part 1
- Simple & Multiple Linear regression with case studies
- The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills. You should take this course if you want to become a Data Scientist or if you want to learn about the field
- 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 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
- Learn the degrees of freedom, mathematical operations
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 and will learn how to pre-process data.
You will be given a practical scenario and will understand the complexities of data gathering and analysis
You will understand the important terminologies and statistical methods in data science
You will understand confusion matrix, discrete and continuous random variables
You will learn the basics of descriptive statistics using a Metric example
Probability tells us how often some event will happen after many repeated trials, we start off with an introduction to this interesting topic.
Learn the degrees of freedom, mathematical operations
