Data Science Certification Richmond - Using R & Python

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 2.2K+ Ratings

Build a future-ready career with the Data Science Training Course in Richmond. Master Data Science Online with Python or R Programming, covering installation, numerical and statistical parameters, Machine Learning, AI, Deep Learning, Natural Language Processing, and more. Become a data expert with the premier Data Science Training in Richmond.

  • 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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Next Class Begins in 5 days - Nov 08, 2024

Take your career to new heights with Data Science Certification in Richmond.

Join our thriving community of learners today by enrolling in our Data Science Course in Richmond.

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We empower you to shine before the recruiters.

4-week job assistance program to help you land your dream job.

At JanBask Training, we understand the importance of securing the right job for your career growth and success. That's why we've partnered with industry leaders to assist you in elevating your career to the next level with one of the best Data Science Course in Richmond.

Data Science Course In Richmond Roadmap

Discover the core concepts of our Data Science Training in Richmond.

  • 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 Training Classes In Richmond Highlights

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Courses Taught By Data Science Industry Experts

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Lifetime Access of Learning Resources

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Manual & Automated Testing Real-Time Project

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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 Training In Richmond Batch Details

Preferred

Live Class

60+ Hours of remote classes

USD 127415% Off

USD 1499

Course Duration : 8 WEEKS

Batch Type

Weekdays

Start Date

08 Nov

Timings

09.00 - 10.30 PM EST

Weekdays

22 Nov

09.00 - 10.30 PM EST

Weekend

02 Nov

08.00 - 11.00 AM EST

    • Lifetime access to study material, PPT, and videos
    • Learn from industry-best instructors with decades of big-tech experience
    • Real-time live chats, discussions, and Q&A sessions
    • Receive certification post-completion of the Data Science Course In Richmond
    • 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

08 Nov

Timings

09.00 - 10.30 PM EST

Weekend

02 Nov

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

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Unlock your future potential with the best Data Science Certification in Richmond.

Master the latest Data Science skill sets and stay informed about evolving market demands.

Growth icon

Top 50 Jobs

Data Scientist work is positioned as one of the main 50 occupations in the US, including Richmond.

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$270 K+

The average Top Data Scientist salary in Richmond, VA is $270,130 as of July, 2024, but the range typically falls between $244,972 and $302,095 annually.

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1000+

There are more than 1000 job openings in Richmond that require Data Science Professionals according to data from job search platforms like LinkedIn.

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26.9% CAGR

The Data Science industry will see a compound annual growth rate (CAGR) of 26.9% from 2020 to 2027, reaching a revenue value of $25.94 billion.

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Data Giants

Reports of Ambitionbox suggest that top data firms like Google, Amazon and Microsoft seek skilled data scientists globally to analyze vast datasets and drive informed decisions.

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35% Employment Hike

According to US Bureau Of Labor Statistics, employment of data scientists is projected to grow 35 percent from 2022 to 2032.

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High Entry-level Pay

As per Glassdoor, Data Science is the highest paying entry-level job in the US including Richmond.

Data Science Training Certificate

Settle your promising Data Science Career with specialized Certification & become job-ready.

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Feedback From Our Learners

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 2.2K+ 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 icon

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 icon

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 icon

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 Certified Data Science Professional

Data Science Training In Richmond Career Path

1

Course Completion

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

2

Build a Portfolio

We work with you to build a portfolio of your Data Science projects and assignments. A strong portfolio showcases your practical skills to potential employers.

3

Interview Preparation

We assist in preparing a resume that highlights your skills and Data Science Certification. Sharpen your skills with realistic mock interview sessions.

4

Job Search

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

5

Job Applications

Submit tailored job applications and cover letters for Data Scientist positions that align with the skills you’ve learned from the Richmond data Science Course.

Frequently Asked Questions

Embark On Your Journey To Become A Certified Data Science Professional

Start Your Journey Towards Success

  • Get personalized guidance from our expert instructors
  • Accelerate your career with industry-recognized certification
  • Available 24*7 to answer your queries

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