Data Science Certification Course for Beginners & Professionals

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 25K+ Ratings

Online Data Science Training Program is your sure shot to success in a dynamic career. Get practical learnings from basic to advanced through Data Science courses with R & Python, Machine Learning, AI, and Deep Learning. JanBask Training Data Science Certification course enables you to master critical Data Science skills, increasing your job market value

  • Instructor Led Live Classes
  • Real-life Industry Projects
  • Lifetime Access To Learning Resources
  • Industry-recognized Certification
  • 100% Job Placement Assistance
  • Comprehensive Curriculum

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Boost Your Career with The Industry Best Data Science Certification Course

Unlock the power of data with the JanBask Training job-oriented Data Science Certification course.

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Data Science Job Opportunity Awaits with Reputable Job Placement Network

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Job Assistance Program

With Great Learnings Come Great Placement

At JanBask Training, we understand that landing the right job is essential for your career growth and success. That's why we've cultivated strong partnerships with trusted job placement experts and organizations to help you take your Data Science career to the next level.

Latest Data Science Online Course Curriculum Taught by Industry Veterans

Scroll through the concepts that we cover in our Data Science Certification Course.

  • What is Data Science
  • Understanding the Data
  • Importance of Data Science
  • How is data science different from BI and Reporting?
  • End to End Data Science Project Life Cycle
  • How does Predictive Analysis Work
  • Primer to R programming
  • What is R? Similarities to OOP and SQL
  • Installation of R and R-studio
  • Types of objects in R – lists, matrices, arrays, data.
  • frames etc.
  • Creating new variables or updating existing variables
  • If statements and conditional loops - For, while etc.
  • String manipulations
  • Subsetting data from matrices and data.frames
  • Casting and melting data to long and wide format
  • Hands-on Assignment, Real Scenarios, MCQs, Practice
  • Tests on IR

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  • What is Python?Importance of Python in Data Science
  • Python Installation Guidelines
  • Numerical parameters to represent data
  • NumPy for mathematical computing
  • Scientific computing with Python
  • Text, color map, markers, widths with Matplotlib.
  • Importing and exporting datasets in Python
  • Feature Engineering: Feature Selection and Extraction
  • Practice Tests on Python

  • Statistical parameters to represent data
  • Apply function for parallel processing with Python
  • Statistical and Non-statistical Analysis
  • Population and Sample
  • Statistical Analysis Process,
  • Data Distribution
  • Hands-on Assignment, Real Scenarios, MCQs,
  • Practice Tests on , Statistics
  • Gradient Descent in Boosting Algorithms
  • Multiple linear regression
  • Linear regression vs Logistic regression
  • Understanding Naïve Bayes, Bayes theorem
  • Clustering - K-Means & Hierarchical
  • Hands-on Assignment, Real Scenarios, MCQs,
  • Practice Tests on Machine Learning

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  • Types of Machine Learning
  • What is Supervised, Unsupervised and Reinforcement
  • Decision trees and Random Forest
  • Advantages of tree-based models?
  • Algorithms used in Machine Learning techniques
  • Difference between Data Science, Machine Learning
  • and AI
  • Gradient Descent in Boosting Algorithms
  • Multiple linear regression
  • Linear regression vs Logistic regression
  • Understanding Naïve Bayes, Bayes theorem
  • Clustering - K-Means & Hierarchical
  • Hands-on Assignment, Real Scenarios, MCQs,
  • Practice Tests on Machine Learning

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  • Working with Neural Network
  • Functioning & Usage
  • Convolutional Networks
  • Recurrent Neural Networks
  • AutoEncoders
  • Long Short Term Memory
  • Deep learning with Keras
  • What is TensorFlow?
  • Deep learning with TensorFlow
  • Gradient Descent in Neural Networks
  • Defining and composing models, and deploying
  • TensorBoard.
  • Important Parameters of Perceptron
  • Recursive Neural Tensor Network theory
  • Hands-on Assignment, Real Scenarios, MCQs, Practice
  • Tests on Deep Learning & NLP

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Program Highlights

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Courses Taught by Data Science Industry Experts

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Lifetime Access to Learning Resources

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Hands-on Projects and Real-World Case Studies

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4 week Job Assistance Program

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Earn a Certificate On Course Completion

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LMS Platform With Top-Notch Learning Content

Talk to our advisors

Available 24x7 for your queries

Data Science Certification and Training Course Batch Details

Self Learning

60+ Hours of e-learning content

USD 19950% Off

USD 398

Flexible Learning

    • Lifetime access to study material, PPT, and videos
    • Watch recorded sessions anytime
    • Assignment/recordings by experts
    • Receive certification post-completion of the course
    • Customized LMS with top-notch content

Be Extraordinary with Data Science Training Program

Get in touch with our team to discuss your goals and receive expert advice. Invest today in your long-term career growth!

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+1 202 599 3842

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What Makes Data Science Certification Course Trending

Facts and figures that will tantalize you to sign up for Data Science Certification Training. Grab your dream job, earn the industry's best package, and hold unmatched skillsets with the JanBask Training DS Course.

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28%↑

Demand for data scientists will see a 28% increase by 2026

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105,980

The US currently employs 105,980 data scientists.

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$200 K

Data scientists are expected to earn between $65k and $200k annually, making it the next ideal occupation.

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23 Times

Companies that use customer analytics are 23 times more likely to outperform their competitors in customer acquisition (McKinsey), opening the door for better opportunities.

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75 Billion

By the end of 2025, there will be more than 75 billion Internet of Things (IoT) connected devices in operation, according to data science statistics in Statista.

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$501.03 Billion

By 2032, it is anticipated that the market for data science platforms will be worth 501.03 USD billion

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2670 Data Centers

The United States had 2670 data centers, making it the largest in the world. The demand for data scientists is three times higher as per sources.

Data Science Certificate That You Should Own

Earn your Data Science Certificate and level up your career.

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Student Testimonials

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 25K+ Ratings

Jeffrey icon

Jeffrey

Jeffrey review 5 icon0 Jeffrey review 5 icon1 Jeffrey review 5 icon2 Jeffrey review 5 icon3 Jeffrey review 5 icon4

(5/5)


This is a pretty good beginner course for anyone totally new to this field. Still, this course is a subset of Machine Learning A-Z course by the same team. Almost everything covered in this course is covered in that plus...
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Chenaj Teja Potu

Chenaj Teja Potu review 4 icon0 Chenaj Teja Potu review 4 icon1 Chenaj Teja Potu review 4 icon2 Chenaj Teja Potu review 4 icon3 Chenaj Teja Potu review 4 icon41

(4/5)


An absolutely great course. I'm new to learning about Data Science and Kirill's explanation really is step-by-step and makes no assumptions about what you should know. He explains why each action is done and how it appli...
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Bosun Sogeke

Bosun Sogeke review 5 icon0 Bosun Sogeke review 5 icon1 Bosun Sogeke review 5 icon2 Bosun Sogeke review 5 icon3 Bosun Sogeke review 5 icon4

(5/5)


Really this course is very helpful and I have learned a lot of new areas in data science especially data preparation, data cleaning and data analysis. I have learned about data modeling using logistic regression which wi...
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Kim Adams

Kim Adams review 5 icon0 Kim Adams review 5 icon1 Kim Adams review 5 icon2 Kim Adams review 5 icon3 Kim Adams review 5 icon4

(5/5)


Well-structured and practice-oriented course, I would recommend it to anyone who wants to quickly get up to speed in such core Data Science skills as data visualization, ETL, modeling, and communication.

Gururaju BM icon

Gururaju BM

Gururaju BM review 5 icon0 Gururaju BM review 5 icon1 Gururaju BM review 5 icon2 Gururaju BM review 5 icon3 Gururaju BM review 5 icon4

(5/5)


Loved this course. Lots of good material and the instructor is great. He keeps things exciting and keeps challenging. This course kind of made me realize what I like the most and pushed me towards a career path. Definit...
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Nibha Thakur

Nibha Thakur review 4 icon0 Nibha Thakur review 4 icon1 Nibha Thakur review 4 icon2 Nibha Thakur review 4 icon3 Nibha Thakur review 4 icon41

(4/5)


I think the course did well in terms of the flow of topics and covering the fundamentals. It does add great value to beginners. However, I expected it to cover data mining and visualizations in more detail. Anyway, kudos...
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Debmalya Datta

Debmalya Datta review 5 icon0 Debmalya Datta review 5 icon1 Debmalya Datta review 5 icon2 Debmalya Datta review 5 icon3 Debmalya Datta review 5 icon4

(5/5)


Very good course, love the outline of a broad topic which still has lots of practical examples. The speed is exactly right for a beginner, he doesn't dwell too long on any subject or details but instead is focused on nec...
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Prakashi Shekade

Prakashi Shekade review 5 icon0 Prakashi Shekade review 5 icon1 Prakashi Shekade review 5 icon2 Prakashi Shekade review 5 icon3 Prakashi Shekade review 5 icon4

(5/5)


This is a good survey course that has helped me not only develop the skills necessary to break into the data science field but also to understand how the entire process works as a whole. A big thank you to the JanBask t...
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Buddhadev Choudhury

Buddhadev Choudhury review 4 icon0 Buddhadev Choudhury review 4 icon1 Buddhadev Choudhury review 4 icon2 Buddhadev Choudhury review 4 icon3 Buddhadev Choudhury review 4 icon41

(4/5)


This is an amazing course. Probably the best introduction possible to data science. The instructor is speaking in a very understandable way and spend time on the useful details. Thanks.

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Zakaria

Zakaria review 5 icon0 Zakaria review 5 icon1 Zakaria review 5 icon2 Zakaria review 5 icon3 Zakaria review 5 icon4

(5/5)


Very good course. Gave me the information and tools that I was looking for in order to apply for Data Science jobs. Data Science A-Z course by is very nice & interactive course. I am very impressed with the instructor’...
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Data Science Course - Career Services by JanBask Training

Data Science Training Career Path

1

Course Completion

You will receive a Data Science Certification after completing the course requirements. This certification serves as evidence of your skills and knowledge.

2

Build a Portfolio

While completing the course, we work with you on building a portfolio of your projects and assignments. A strong portfolio showcases your practical skills to potential employers.

3

Job Preparation

We assist in preparing a professional resume that highlights your certification, skills, and any relevant experience. Practice your interview skills to discuss qualifications confidently.

4

Job Search

Start your job search by applying for Data Scientist positions. Utilize job search websites, industry-specific job boards, and professional networking platforms.

5

Job Applications

Submit personalized job applications and cover letters for Data Scientist positions that align with your skills and career goals. We assist you every step of the way.

Frequently Asked Questions

Don’t Wait To Book A Live Data Science Class

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  • Introduce yourself to the concepts, principles, and working knowledge of Data Science
  • Understand real-world scenarios with real-time job-oriented projects
  • Learn from World Class Trainers who are one of the top-rated Data Science Professionals

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