Data Science Training Columbus - Using R, Python, Spark & Hadoop

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 2.1K+ Ratings

Our Data Science Online Certification Course has been devised explicitly for professionals aiming to advance their careers in data science. Learn about data science using R, Python, Spark, and Hadoop, along with topics like machine learning, artificial intelligence, deep learning, natural language processing, numerical parameters for data representation, NumPy for mathematical computation, and more. Be a part of our data science training classes in Columbus.

  • Live Classes Led by Industry Experts
  • Real-life Industry Projects
  • Lifetime Access To Learning Materials
  • Industry-Acknowledged Certification
  • 100% Job Placement Assistance
  • Comprehensive Syllabus

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Next Class Begins in 1 days - Mar 29, 2024

Kickstart your career with our Data Science Certification in Columbus

Forge a robust career trajectory by enrolling in a Data Science Training Course in Columbus at JanBask.

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We Help You Land A Job Of Your Caliber

Our 4-week job assistance program will reshape you to meet industry standards and help you land your dream job.

At JanBask Training, we understand that landing the right job is essential for your career growth and success. That's why we've fostered robust partnerships to help you take your career to the next level with the best Data Science Training Program in Columbus.

Data Science Course in Atlanta: Complete Curriculum

Check out the list of topics we cover in our Data Science Course in Columbus

  • 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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Data Science Course Highlights

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Expert-Led Courses: Taught by industry professionals.

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Lifetime Access: Learning resources available post-course completion.

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Real-Life Projects: Gain practical experience.

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Placement Assistance: 4-week program to secure job opportunities.

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Engaging Content: Creatively crafted on an LMS platform.

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Completion Certificate: Recognize your achievement.

Talk to our advisors

Available 24x7 for your queries

Batch Details of the Data Science Training Course in Columbus

Preferred

Live Class

60+ Hours of remote classes

USD 127415% Off

USD 1499

Course Duration : 8 WEEKS

Batch Type

Weekdays

Start Date

29 Mar

Timings

09.00 - 10.30 PM EST

Weekdays

12 Apr

09.00 - 10.30 PM EST

Weekend

05 Apr

08.00 - 11.00 AM EST

  • Lifetime access to study material, PPT and videos
  • Learn from industry-best instructors at the Data Science Course in Columbus who hold decades of big-tech experience
  • Real-time live chats, discussions, and Q&A sessions
  • Receive certification post-completion of the Data Science course in Columbus
  • Watch recorded sessions anytime
  • 24*7 support from the experts
  • 4 week job assistance program
  • Help to market your profile
  • Manual and automation real-time projects
  • Customized LMS with top-notch content

100% Job Assistance

One on One Module

60+ Hours of e-learning content

USD 254915% Off

USD 2999

Course Duration : 8 WEEKS

Batch Type

Weekdays

Start Date

29 Mar

Timings

09.00 - 10.30 PM EST

Weekend

05 Apr

08.00 - 11.00 AM EST

  • 100% Job Assistance
  • One-on-One Student Interaction
  • Flexible learning schedule
  • Industry-Relevant Projects
  • Lifetime access to study material/PPT
  • Learn from industry-best instructors with decades of big-tech experience
  • Connect with the instructor on a video call to resolve queries
  • Real-time live chats, discussions, and Q&A sessions
  • Receive certification post completion of the course
  • 24*7 support from the instructor
  • 4 week job assistance program
  • Help to market your profile
  • Manual and automation real-time projects
  • Customized LMS with top-notch content

Self Learning

60+ Hours of e-learning content

USD 49950% Off

USD 998

Self Learning

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

Do you have questions about our Data Science Training Course in Columbus?

Let our team answer all your doubts and walk you through the course.

Available 24x7 for your queries

+12025993842

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Supercharge your career with JanBask’s Data Science Training in Columbus

Our expert-led Data Science Training in Columbus gives you the competitive edge to stay ahead.

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Top 50

The job of a data scientist is deemed to be one of the fifty most prestigious job roles in the USA, especially Columbus.

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$167 K+

Companies like Infoblox are known to pay data scientists salaries as high as $167,485 annually.

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$127 K+

As per Built in, the average salary for a Data Scientist in Columbus, is $127,250

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35%

According to the U.S. Bureau of Labor Statistics (BLS), the employment outlook for data scientists is expected to grow by 35 % by 2032.

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1K+ Jobs

LinkedIn lists over 1,000 job roles for data science professionals in Columbus.

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$484.17 Billion

The data science platform market is expected to reach $484.17 billion by 2029, growing at a CAGR of 29.0% from $81.47 billion in 2022.

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Top-tier compensation

According to Glassdoor and other reputable reviews, data science offers lucrative entry-level roles in the US.

Data Science Training Certificate

Seal your bright Data Science career in Columbus by obtaining this job-specific Data Science Certification.

Data Science Training Using R & Python Certificate icon

Words By Our Alumni

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 2.1K+ 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 icon

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 icon

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.

Zakaria icon

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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Become A Professional Data Scientist

Career Path of the Data Science Course in Columbus

1

Course Completion

Introduce yourself to the concepts, principles, and working knowledge of Data Science and earn a Data Science Certification in Columbus as a validation of your obtained skills & expertise.

2

Build a Portfolio

Gain insight into real-life scenarios through job-oriented projects/case studies in real time. We’ll help you craft a strong portfolio showcasing your skills to potential recruiters.

3

Interview Preparation

We help you craft a professional Data Scientist resume that highlights your skills & Certification that you’ll earn post-completion of the Online Data Science Course In Columbus.

4

Job Search

Begin your job hunt in Columbus by applying for Data Scientist roles. Leverage job search websites, industry-specific job boards, and professional networking platforms.

5

Job Applications

Submit customized job applications and cover letters for Data Scientist positions that align with the skills that you’ve learned from the Best Data Science Course In Columbus.

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  • 24/7 assistance is available for course inquiries.
  • Stay informed of course updates and placement prerequisites.

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