What are data science foundations?

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Data science foundations refer to the fundamental principles, techniques, and skills that form the building blocks of data science. These foundations provide the necessary knowledge and understanding of key concepts and tools used in data science practice. Some essential components of data science foundations include:

Statistics and Probability: A solid understanding of statistical analysis, probability theory, and hypothesis testing is crucial for making data-driven decisions and drawing meaningful insights from data.
Programming and Data Manipulation: Proficiency in programming languages such as Python or R is vital for data manipulation, cleaning, and preprocessing tasks. It involves working with data structures, libraries, and frameworks to extract, transform, and load data.

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Data Science Foundation Course | Simplilearn

Computer Science

Simplilearn

How to Get The Certificate

Lesson 1 Introduction to Data Science Course Simplilearn

Lesson 2 Introduction to Data Science Simplilearn

Lesson 3 What is Data Science Simplilearn

Lesson 4 Data Analyst vs Data Scientist vs Data Engineer Simplilearn

Lesson 5 Data Science Life Cycle Simplilearn

Lesson 6 Statistic for Data Science Simplilearn

Lesson 7 Types of Distribution in Statistics Simplilearn

Lesson 8 Bayes Theorem Simplilearn

Lesson 9 Introduction to Artificial Intelligence Simplilearn

Lesson 10 Introduction to Machine Learning Simplilearn

Lesson 11 Supervised Vs Unsupervised vs Reinforced Learning Simplilearn

Lesson 12 Regression Analysis linear regression logistic regression Simplilearn

Lesson 13 Linear vs logistic regression Simplilearn

Lesson 14 Classification in Machine Learning Simplilearn

Lesson 15 Decision Tree in Machine Learning Simplilearn

Lesson 16 Random Forest Algorithm Simplilearn

Lesson 17 K Means Clustering Algorithm Simplilearn

Lesson 18 Naive Bayes Classifier Simplilearn

Lesson 19 What is Deep Learning Simplilearn

Lesson 20 Python Libraries Simplilearn

Lesson 21 Data Visualization Tableau Simplilearn

Lesson 22 Data Science Interview Question Simplilearn

Linear Algebra for Computer Scientists

Insertion Sort

Bubble Sort

GCSE Computer Science

Random Access Memory

Binary Trees

Bitwise Operators

Introduction to Stacks Data Structures

Organization Theory Structure and Design

Handling Large Scale Unit Level Data Using STATA

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices and Least Squares

Artificial Intelligence Principles and Techniques

Machine Learning Autumn 2018

Robotics and Autonomous Systems

Natural Language Understanding