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Data Science Mathematics

Learn data science mathematics from basics in this free online training. Data science mathematics course is taught hands-on by experts. Learn about what is data science and data science skills sets in details with example.

Instructor:

Dr. D Narayana
4.32
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Ratings

Beginner

Level

1.5 Hrs

Learning hours

12.3K+
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Learners

Enrol free with email

Skills you’ll Learn

Mathematics for Data Science
Case studies

About this Free Certificate Course

Data Science is a field of Computer Science that employs scientific methods, processes, algorithms, and systems to extract information and derivations from structured and unstructured data. Mathematical concepts are applied across a broad range of application domains related to data mining, machine learning, and big data that are essentially connected to data science. Linear regression, logistic regression, and a decision tree make the important concepts as they are used in prediction models for classification and data fitting.

 

This free mathematics for data science course will help you understand various concepts such as introduction to the subject, deep learning, essential concepts of math for data science, required skills, different phases in data science, probability and statistics, machine learning, Model Performance Optimization, and various case studies to help you understand the role of mathematics in data science. 

 

Great Learning holds out various Post-Graduate Programs in Data Science domains. You can register for the best Data Science course and earn a master's degree certificate from a renowned university. We aim to empower our learners with everything they need to succeed in their careers and be the best-fits globally. Join us today and start learning with millions of aspirants across the globe. Happy Learning!

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Course Outline

What is Data Science?

This module gives you a clear picture of Data Science and how it is connected to mining, deep learning, and big data.

Deep Learning

In this module, you will learn about data sampling techniques, imaging & text processing techniques, and more.

Introduction to Essential Mathematics for Data Science

This module explains the agenda of this Data Science Mathematics free course.

Data Science - Skills

You know that Data Scientist is the most in-demand profession, and similarly, multiple other jobs need various Data Science skills that are discussed here.

Common questions

While learning this course, you may have thought about multiple questions like what role does Maths play in Data Science? This module gives answers to various such common questions.

Case study: Predict House Prices

This module consists of a case study regarding predicting house prices. You will go through its modeling, what the machine tries to build, and the loss and gradient descent.

Case study: Lockdown impact on COVID-19 Spread

This module discusses another case study based on lockdown impact on COVID-19 spread. You will go through the problem statement and learn what kind of mathematical techniques can be used to solve this problem.

Case study: Covid 19 Positive Rate Analysis

This module is based on the Covid 19 positive rate analysis case study. You will briefly go through the problem definition and the mathematical techniques involved in solving the problem.

Case study: Covid 19 Detection

This module is regarding the case study on Covid 19 detection. You will go through the problem statement, techniques, and the process flow and results.

Important steps in DS

This module will help you understand the six essential steps that you must consider while dealing with Data Science problems.

Probability and statistics

This module will help you understand essential concepts of probability and statistics that play a crucial role in Data Science. You will understand concepts like probability, conditional probability, confidence intervals estimation, hypothesis testing, etc.

Machine Learning

This module will help you learn about crucial concepts of Machine Learning like data sampling techniques, conditional probability, linear algebra, and multivariate calculus.

Model Performance Optimization

This module regarding model performance optimization discusses two critical techniques: data sampling techniques and optimization algorithms.

Our course instructor

instructor img

Dr. D Narayana

Professor, Artificial Intelligence and Machine Learning, Great Learning

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16.3K+ Learners
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3 Courses
Dr. Narayana holds a PHD in Mathematics from Pierre and Marie Curie University, Paris, France. Dr. Narayana has more than 11 years of industry experience and over 4 years academic research experience. Over these years, he has worked as a professor, trader, project manager, team lead, and developer. His area of expertise includes Machine learning, Optimization, Financial engineering and High frequency & algorithmic trading. He is proficient in R Language, Hadoop, Python & Big Data Technologies. He has published over ten research articles in international journals and conferences. He has taught courses in Big Data technologies, guided student projects and mentored students at premier institutes.

Trusted by 10 Million+ Learners globally

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4.7

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

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What our learners enjoyed the most

Ratings & Reviews of this Course

Reviewer Profile
Wyclif Kasuni

5.0

★★★★ ★
My Learning Experience at Great Learning Free Course
The course is well-structured. The trainer is well-versed with knowledge. The scenarios were practical and relevant.
Reviewer Profile
Micah Daniel

5.0

★★★★ ★
Learning Experience Feedback on Data Science Mathematics Course
Awesome curriculum and easy to follow. It gives a 360-degree view of data science and the role of mathematics in data science. The case study examples are very instrumental to understanding the course.
Reviewer Profile
Sudenaz Basut

5.0

★★★★ ★
Data Scientist Training: I Gained the Opportunity to Specialize in Big Data Analysis, Machine Learning Algorithms, Data Manipulation with Python
By completing this training, I gained in-depth knowledge in the field of data science. During the training, I learned the processes of collecting, processing, analyzing, and creating models for data. I managed to perform data manipulation in programming languages such as Python and R, apply machine learning algorithms, and make sense of large data sets. I also gained the skills to develop projects that will create value in the business world by using data visualization and model performance evaluation techniques.
Reviewer Profile
Tarek Khlaifia

5.0

★★★★ ★
Une Bonne Situation d'Apprentissage
La méthode d'apprentissage était une des meilleures que j'ai vécues.

Data Science Mathematics

1.5 Learning Hours . Beginner

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Frequently Asked Questions

What type of math is used in data science?

Math is an integral part of computer science, and hence data science, an essential and most important domain of computer science. Calculus, linear algebra, discrete mathematics, graph theory, probability, and statistics are the primarily used field of mathematics in data science models. 

Can I be a data scientist with a math degree?

No, just a math degree won't help you become a data scientist. You will have to hold a good knowledge of computer science and its fields like data science, big data, computing, and other related technologies.

Do I need to be good at math to be a data scientist?

Yes, mathematics is a foundation for any computer science technology. It is very important to master a few math concepts and at least know the basics of a few others to be a good data scientist. 

Will I get a certificate after completing this Data Science Mathematics free course?

Yes, you will get a certificate of completion for Data Science Mathematics after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Data Science Mathematics course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Data Science Mathematics can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Data Science Mathematics course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Data Science Mathematics course?

Great Learning Academy provides this Data Science Mathematics course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Data Science Mathematics course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Data Science Mathematics course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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