Data Science with Machine Learning Training and Certification

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 1.9K+ Ratings

Are you ready to master Data Science and Machine Learning and ace the most sought-after certification exams? JanBask Training data science with machine learning courses gives you end-to-end practical knowledge of critical concepts like supervised and unsupervised learning, algorithms, regression, data visualization, time series modeling, and much more.

  • Instructor Led Live Classes
  • Advanced Analytics Training
  • Flexible Learning Schedule
  • Collaborative Learning Environment
  • 100% Job Placement Assistance
  • Industry-recognized Certification

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Fuel Your Ambition with Data Science and Machine Learning Course Training

Unleash your potential, conquer challenges, and thrive in your career with JanBask Training.

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Job Assistance Program

Unwavering support in securing your dream job

At JanBask Training, we understand that landing the right job is essential for your career growth and success. The Machine Learning and Data Science course also supports job interviews, resume building, and building networks.

Online Data Science Machine Learning Course Curriculum

Best-in-class content by leading faculty & industry leaders in the form of videos and projects, assignments & live sessions.

  • Overview of Machine Learning.
  • Machine Learning types
  • What are the features of Machine Learning
  • Machine Learning Categories & Technique
  • Automation tools in Machine Learning.
  • Analyze data using machine learning algorithms.
  • Overview of Python.
  • Why is Python preferred for Data Science?
  • Installation of Python ( basic commands)
  • Python Core Objects and functions
  • Number Object and operations
  • String, List & Tuple Object Operations
  • Set object and operations
  • None Object & Boolean Object
  • Data processing and Different data Structures

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  • What are conditional statements?
  • What are loops?
  • What are various types of functions
  • Create UDF functions
  • Parameterize UDF function, through named and unnamed parameters
  • Defining and calling Function
  • The anonymous Functions - Lambda Functions
  • String Object functions
  • List and Tuple Object functions
  • What is Exception, Python Exceptions Handling
  • exceptions using try....except...else & Try-finally clause
  • Python Standard Exceptions
  • Understand on OOP & Object oriented features
  • Creating Classes and Objects, Destroying Objects
  • Inheritance and Polymorphism
  • Overriding Methods, Data Hiding & Overloading Operators
  • pdb debugger & Pycharm Debugger
  • Assert statement for debugging
  • What are regular expressions?
  • Extended Regular Expressions

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  • What is Machine Learning
  • Understanding Supervised Learning.
  • Linear Regression Theory
  • Supervised Learning Regression
  • Linear Regression
  • Multiple Linear Regression
  • Bias-Variance Trade-Off
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Simple Vector Machine (SVM)
  • Decision Trees
  • Bagging
  • Boosting, AdaBoost & XGBoost
  • Naïve Bayes Classifier

  • K-Means Clustering
  • Hierarchical Clustering
  • DBSCAN
  • Dimensionality Reduction
  • Linear Discriminant Analysis
  • Principal Component Analysis (PCA)
  • Reinforcement Learning
  • Model Comparisons
  • Analysis Considerations
  • Clustering Animals
  • Customer Segmentation
  • Optimal Number of Clusters
  • Cluster Based Incentivization
  • Image Segmentation

  • Understanding forecasting
  • Steps in Time Series Forecasting
  • Data Manipulation and Cleaning
  • Time Series & Time Series forecasting
  • Components of Time Series
  • Forecasting methods, Smoothing Methods
  • Trend and Seasonality detection and forecasting
  • Modeling Random Components, Modeling for stationary time series
  • ETS Model, Auto regressive Model, Moving Average Model, ARIMA Model, ETS Model
  • Importance of Association rules
  • Metrics of rules-Lift, Support, Confidence, Conviction
  • Apriority Model, Market Basket Analysis
  • Algorithm implementation and tuning, Applications

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  • Introduction to Neural Network
  • Functioning & Usage
  • Advantages and Disadvantages
  • Convolutional Networks
  • Recurrent Neural Networks
  • Stop Words, Tokenization
  • How NLP works with text mining
  • Importance and applications of text mining
  • Writing and reading to word files
  • Text mining: Its cleaning, pre-processing, and text classification
  • Text Classification, Text Matching
  • Natural Language ToolKit Library
  • POS Tagging: Text Extraction and Preprocessing
  • Tokenization, N-grams, Lemmatization

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Data Science Machine Learning Course Highlights

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Courses Taught By Industry Experts

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Lifetime Access to Learning Resources

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Updated Industry-Relevant Curriculum

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100% Job Assistance Program

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4 week Job Assistance Program

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Earn a Certificate On Course Completion

Talk to our advisors

Available 24x7 for your queries

Machine Learning Data Science Training Course Batch Details

Preferred

Live Class

45+ Hours of remote classes

USD 127415% Off

USD 1499

Course Duration : 6 WEEKS

Batch Type

Weekdays

Start Date

19 Apr

Timings

09.00 - 10.30 PM EST

Weekdays

31 May

09.00 - 10.30 PM EST

  • Lifetime access to study material, PPT and videos/PPT
  • 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 course
  • Watch recorded sessions anytime
  • 24*7 support from the expertse
  • 4 week job assistance program
  • Help to market your profile
  • Hands-on experience with real-time projects
  • Customized LMS with top-notch content

100% Job Assistance

One on One Module

45+ Hours of e-learning content

USD 254915% Off

USD 2999

Course Duration : 6 WEEKS

Batch Type

Weekdays

Start Date

19 Apr

Timings

09.00 - 10.30 PM EST

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

Self Learning

45+ Hours of e-learning content

USD 49950% Off

USD 998

Flexible 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

Start Your Data Science and Machine Learning Course Journey Today

Get in touch with our team to discuss your goals and receive expert advice.

Available 24x7 for your queries

+1 202 599 3842

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Fuel Your Ambition with Data Science and Machine Learning Certification Course

Facts and Figures that will tantalize you into signing up for Data Science Certification Training.

Growth icon

$230.80 Billion

The data science platform market size is expected to grow from $37.9 billion in 2019 to $230.80 billion by 2026.

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26.9%↑

The data science market is projected to grow at a compound annual growth rate (CAGR) of 26.9% from 2020 to 2027.

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$64,338

The average annual salary for an entry-level Machine Learning Engineer is $64,338

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$147,618

An experienced machine learning engineer can earn an average of $147,618

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£170,000

In the UK, lead machine learning engineers can earn £80,000 to £90,000, and this can rise to £170,000 in large international corporations

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$114,000

The average NLP Scientist salary is around $114,000 per year.

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$100,000

The average salary for a Machine Learning engineer is over $100,000 per year.

Data Science Machine Learning Course Certificate

Achieve your professional goals with a job-oriented Data Science with Machine Learning Certification.

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What Our Data Science and Machine Learning Course Learners Have to Say

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 1.9K+ 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.

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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Career Services By JanBask Training

Data Science Machine Learning Course Career Path

1

Course Completion

Completing the courses will earn you the Data Science with Machine Learning certification. This certificate shows that you have the required skills and knowledge in emerging areas of data science.

2

Build a Portfolio

We will collaborate and prepare an impressive portfolio demonstrating your data science and machine learning projects. This kind of portfolio will illustrate your skills and, at the same time, will impress future employers.

3

Interview Preparation

Our team will instruct you on developing a professional resume that will showcase the competencies and achievements that you have obtained in Data Science and Machine Learning.

4

Job Search

Start your career by discovering possibilities for data science and machine learning jobs. Use job search engines, sector-specific job boards, and online networks to locate your ideal position.

5

Job Applications

Offer assistance by personalizing job applications for Data Science and ML positions. We aim to guide you to ensure your applications match your skills, objectives, and aspirations for a successful career trajectory.

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