Data Science Certification Course

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Advance your career as a Data Scientist to the next level with CourseJet Data Science Certification Course Online Training. Our Data Science course is designed to hone your expertise in the following concepts like Data Visualization, Data Analysis, Statistical Computing, time-series analysis, Naive Bayes, R with Hadoop Framework, K-means Clustering, Inferential Statistics, Machine Learning, Big Data, and a lot more. Besides, Our Data Science training will help you gain hands-on assistance thoroughly by working with real-time projects and case studies in different industrial sectors. Data Science Certification equips you with the skills required to become an expert Data Scientist. Get the best Data Science Training from the Industry experts now by enrolling in our Data Science Program.

2765+

Total Learners

30 Hrs

Course Duration

15 Hrs

Assignments Duration

100%

Job Oriented Training

24/7

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CourseJet's Training Modes

Learn from World’s top Data Science Certified faculty and industry leaders

Online Batch Training

One To One Training

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Fast Track Training

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Upcoming Batch Schedule

Check out our Data Science online certification batch timings. Does this batch not suits your timings? No worries, we will customize and arrange the batch timings that match you perfectly to your interest.

20-03-2024

Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session. (Monday - Friday) Time: 08:00 AM (IST)
Week Day

24-03-2024

Weekend Regular (Class 3Hrs) / Per Session. (Saturday - Sunday) 11:00 AM (IST)
Week End

22-03-2024

Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session. (Monday - Friday) Time: 08:00 AM (IST)
Week Day

20-03-2024

Weekdays Fast-track (Class 3Hrs - 4Hrs) / Per Session. (Monday - Friday) 10:00 AM (IST)
Fast track

23-03-2024

Weekend Regular (Class 3Hrs) / Per Session. (Saturday - Sunday) 11:00 AM (IST)
Week END

23-03-2024

Weekend Fast-track (Class 5Hrs - 6Hrs) / Per Session. (Saturday - Sunday) 11:00 AM (IST)
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Best Data Science Certification Course Online

Are you in search of the Best Online Training institute for Data Science Training, Coursejet is one of the top Data Science Online Training institutes! They provide the best Data Science training for the aspirants by the industry experts.

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About Data Science Course

Data Science is a field of study that makes use of scientific processes, methods, systems, and algorithms to extract insights from nonstructural and structural data. This field is mainly related to Big Data and Data Mining. The Data Science field is mainly used to solve analytically complex problems. Our Data Science course helps you gain in-depth knowledge of Data Visualization, Data Analysis, Statistical Computing, time-series analysis, Naive Bayes, R with Hadoop Framework, K-means Clustering, Inferential Statistics, Data Science Life Cycle, etc. Our updated course syllabus is in-lined with Data Scientist Certification and focused on the present industry needs to help you clear certification examinations with ease. Our Data Science training will act as a power-package for building your career as a Data Scientist. In our Data Science Certification course, you will get to know about various Data Science programs conducted by industry expert data scientists.

Data Science is a field of study that makes use of scientific processes, methods, systems, and algorithms to extract insights from nonstructural and structural data. This field is mainly related to Big Data and Data Mining.

The Data Science field is mainly used to solve analytically complex problems. Our Data Science course helps you gain in-depth knowledge of Data Visualization, Data Analysis, Statistical Computing, time-series analysis, Naive Bayes, R with Hadoop Framework, K-means Clustering, Inferential Statistics, Data Science Life Cycle, etc.

Our updated course syllabus is in-lined with Certification and focused on the present industry needs to help you clear certification exams with ease. Our Data Science training will act as a power-package for building your career as a Data Scientist.

By the end of this Data Science training, you will gain comprehensive knowledge of the following concepts.

  • Data Science Introduction and its trend.
  • Data Exploration, Data Visualization, Data Manipulation, and Data Acquisition.
  • Data Science Life Cycle
  • Machine Learning Algorithms
  • Fundamentals of AI, Hadoop, Spark, HIVE, Big Data, and a lot more.
  • Data Scientist Roles and Responsibilities.
  • Data Analysis and Predictive Analytics
  • Different project deployment tools
  • Data Science using Python
  • Hadoop and Big Data integration with R
  • The demand for Data Scientists is increasing day by day. The availability of data is very huge and for analyzing data you need an exact road map to find out hidden insights and organize data. There is a tough fight between Data Science and Big Data Analytics.

    • There is an escalating demand for Data Scientists in various industrial sectors like IT needs, Healthcare, Defence, Education, and many more.
    • Many organizations are in need of expert Data Scientists to well-organize and get the desired output from the available Data.
    • According to indeed.com, the average salary offered for a Data Scientist is around $124,283 per annum in the United States.

This Data Science Certification course is the best fit for the following job roles.

  • Big Data professionals
  • Big Data Statisticians
  • Information Architects
  • Analytics Architect
  • Business Intelligence professionals
  • Machine Learning Professionals
  • Developers
  • Aspirants who want to build their career in Data Science field.

There are no specific prerequisites to learn this data science course. Having an interest in mathematics, you can easily learn this data science course. Aspirants who want to build their career as an expert Data Scientist can enroll for this Data Science training.

There are 3 sequence of steps required to become a Data Scientist, and they are as follows.

  • Bachelor’s Degree in the field of IT, maths, Computer Science, and other related fields.
  • Master degree in Data or related fields.
  • Gain experience in the field that you intend to work in.

CourseJet will provide individual attention to all our students so it will help to clarify all the doubts so we restrict the batch size of each Data Science course to 5 to 6 members.

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Data Science Course Curriculum

Our Data Science Course Curriculum encompasses all the course modules with a clear description and the concepts covered in each module. CourseJet designs the syllabus in the learner's perspective to provide comprehensive knowledge.

Data can be defined as a collection of facts like numbers, measurements, words, etc. In the technical sense, data can be defined as a collection of quantitative or qualitative variables. A datum is a single unit of a single variable. Everything that we work completely deals with data and the data is everywhere. It is considered as the most important element because it exists everywhere.

Topics Covered in this module are:

  •  What is Data?
  • Types of Data
  • Types of Data Collections
  • Different forms of sources and Data
  • The architecture of Data and its components
  • OLAP vs OLTP
  • How to structure large amounts of data and store it

Big Data is a field that mainly deals with large volumes of data. You will find lots of data to analyze, process, and extract. You will find many new ways to organize large amounts of data. It finally leads to the best strategic business moves. Big Data describes both structured and unstructured data.  

Topics Covered in this module are:

  • Introduction to Big Data
  • Big Data Architecture
  • Distributed Computing and Complexity
  • Hadoop Introduction
  • Hadoop Ecosystem
  • Map Reduce Framework

Data Science is a field of study that makes use of scientific processes, methods, systems, and algorithms to extract insights from nonstructural and structural data. This field is mainly related to Big Data and Data Mining. The Data Science field is mainly used to solve analytically complex problems.

Topics Covered in this module are:

  • Data Science Life Cycle
  • Data Analysis and Business Intelligence
  • Types of Analytics
  • Foundation of Data Science
  • Data Acquisition
  • Need for Data Science
  • Data Transformation
  • Applications of Data Science
  • Resolution Techniques
  • Big Data and Hadoop
  • Introduction to R programming, Deep Learning, and Machine Learning
  • Data Science Use Cases

R is one of the most prominently used programming languages in the field of Data Science. It provides a friendly environment for statistical computing. This language is most widely used by data miners and statisticians. This language is frequently used for data analysis. Furthermore, it is used to develop statistical software. 

Topics Covered in this module are:

  • R programming Introduction
  • Analytics Concepts
  • Usage of R in Industry
  • Installation of R and other packages
  • Performing R operations using Command Line
  • R studio
  • Importance of R in Analytics

In this module, you will get in-depth knowledge of Data import techniques in R programming. You will also learn how to import data in R to a simple text file. 

Topics Covered in this module are:

  • Techniques to import data in R programming
  • Data import using Statistical methods
  • Installation of Packages required for Database Import
  • How to establish an RDBMS connection with R using ODBC
  • Web Scraping

Data Exploration is one of the key essentials in Data Science. It is an approach that is quite similar to data analysis. The Data Analysts make use of visual exploration to understand what is present in the dataset and data characteristics. Data Exploration technique helps the users build familiarity with the existing information to find better answers in simpler ways.

Topics Covered in this module are:

  • What is Data Exploration
  • Importance of Data Exploration
  • Data Exploration using R
  • Data export from external sources
  • Data Frames
  • User-defined functions
  • Data Import and Export
  • Looping Statements 
  • Accessing Individual Elements

Data Manipulation in R is defined as a process of modifying data to make it easier to read and more organized. The data is manipulated mainly for visualization and analysis. Data manipulation plays a major role in Data Exploration, it helps in organizing data using available sets of variables. Different data manipulation functions are used to manipulate data in R programming.

Topics Covered in this module are:

  • How to manipulate Data
  • Various phases of Data Cleaning
  • Data Cleaning Techniques
  • Functions used in the inspection
  • Methods used for Data Manipulation in R

Data Visualization is considered as one of the beautiful arts to turn numbers into useful information or knowledge. R programming provides built-in functions and libraries to build visualizations and present data in a well-organized format. 

Topics Covered in this module are:

  • What is Data Visualization
  • Key elements used in Data Visualization
  • Graphics Introduction
  • Bar-plots for categorical variables
  • ggvis package
  • Visualization using ggvis package
  • Building web applications with shinyR
  • Data Visualization vs Infographics
  • Various GUIs
  • Graphical functions in R
  • Histogram and various density plots

EDA is abbreviated as Exploratory Data Analysis is a process of visualizing and analyzing data to get better insights from it. Various steps are included in performing EDA in R programming such as import data, clean data, process data, and visualize data. 

Topics Covered in this module are:

  • Introduction to EDA
  • Different types of EDAs
  • Goals of EDA
  • The need for EDA in Data Science
  • EDA Implementation
  • Various EDA functions
  • Use-cases for EDA using R
  • Multiple packages for data analysis

Hadoop is the collection of open-source software utilities that can be facilitated using a network of a number of computers to solve problems that involve a massive amount of computation and data. This provides a software framework for distributed storage. It is designed and developed by Apache Software Foundation. 

Topics Covered in this module are:

  • Hadoop Architecture
  • Why Hadoop
  • Hadoop vs Traditional Approach
  • Distributed Model
  • Use-cases of Hadoop
  • Hadoop EcoSystem
  • Hadoop FUndamental Design Principles
  • Hadoop vs RDBMS
  • Hadoop Cluster
  • Writing and reading files to and from HDFS

MapReduce is a programming model that is mainly designed to process a large volume of data parallelly by dividing the whole work into a set of independent tasks. The user expresses the algorithm in two functions Map and Reduce. The Map function is only applied to the input data and mainly used to produce a list of intermediate pairs.

Topics Covered in this module are:

  • Introduction to MapReduce
  • The need for MapReduce 
  • various concepts of MapReduce
  • Log Processing
  • Word Count Problem

MapReduce is a programming model that is mainly designed to process a large volume of data parallelly by dividing the whole work into a set of independent tasks. The user expresses the algorithm in two functions Map and Reduce. The Map function is only applied to the input data and mainly used to produce a list of intermediate pairs.

Topics Covered in this module are:

  • What is Partitioner?
  • What is Combiner?
  • Counter
  • I/o formats
  • Map Join using MR
  • Reduce Join using MR
  • Distributed MR Cache
  • Planning for cluster
  • Hadoop Configuration

Statistics is the defined form of mathematical analysis that mainly uses representations, synopses, quantified models for real-life case studies or sets of experimental data. Statistics mainly deals with the study of the methodologies to gather, analyze, review, and derive a conclusion from the given data. There are various statistical measures like Mean, Median, etc.

Topics Covered in this module are:

  • The need for Statistics
  • Different Categories of Statistics
  • Different types of data
  • Correlation
  • Covariance
  • Normalization
  • What is Probability?
  • Binary Distribution 
  • Normal Distribution
  • How to build a statistical analysis model
  • Sampling
  • ANOVA
  • What is Regression?

The term Machine Learning is defined as a scientific study of statistical models and algorithms that are mainly used by computer systems to perform different tasks without using explicit instructions. Machine Learning is considered as a subset of Artificial Intelligence.

Topics Covered in this module are:

  • Why the trend for Machine Learning is rising
  • Clustering
  • Machine Learning Fundamentals
  • Machine Learning Use Cases
  • Clustering
  • Decision Tree Classifier
  • Naive Bayes Classifier
  • K-Means Clustering
  • Predictive Models
  • Linear Regression
  • Random Forests
  • Similarity Metrics
  • Sentimental Analysis
  • Logistic Regression

Python is a general-purpose, interpreted, object-oriented programming language. It is the easiest programming language to learn and code programs. Top technology trends like Artificial Intelligence, Data Science, Deep Learning, Machine Learning, and many more. Python is the most widely used programming language across many organizations. 

Topics Covered in this module are:

  • What is Python Programming
  • History of Python
  • Installation of Python
  • Environmental Setup
  • Python Syntax
  • Key Features of Python
  • Key fundamentals of Python
Python is a general-purpose, interpreted, object-oriented programming language. It is the easiest programming language to learn and code programs. Top technology trends like Artificial Intelligence, Data Science, Deep Learning, Machine Learning, and many more. Python is the most widely used programming language across many organizations. Python is the most prominently used language by the data scientist for designing and developing Data Science applications. Most libraries are provided to develop Data Science applications.

Topics Covered in this module are:

  • Why Python
  • Introduction to Data Science
  • List of areas in which Python programming is used in the field of Data Science
  • Developing Data Science applications using Python
  • Libraries for developing Data Science Applications

The term Machine Learning is defined as a scientific study of statistical models and algorithms that are mainly used by computer systems to perform different tasks without using explicit instructions. Machine Learning is considered as a subset of Artificial Intelligence. It mainly makes use of python programming to focus on the development of new programs that can be changed when exposed to new data.

Topics Covered in this module are:

  • Machine Learning Introduction
  • Why Python?
  • NumPy and Scipy
  • Matplotlib and its use
  • Machine Learning Applications
  • Supervised vs Unsupervised Learning
  • Usage of Python Programming in Developing Machine Learning Applications

Supervised Learning is a Machine Learning task. It is a process of learning i.e., the process of mapping the input data based on the given input and output example pair. In this Supervised Learning process, the input data is provided to map it with the desired output. The example will be provided for the user to get a clear idea about mapping elements and they proceed according to it. Here you need to supervise the model using given input and output data.

Topics Covered in this module are:

  • Classification Problem
  • K-Nearest Neighbouring Problem

Unsupervised Learning is a Machine Learning technique. In this, you need not supervise the given model. In this Learning process, you need to work on your own. It provides a platform for you to learn on your own and discover desired information. It completely deals with labeled data. You will not be provided with any kind of input or output data and also no examples are provided to work. You need to research on your own and perform whatever you want to get the desired output.

Topics Covered in this module are:

  • Introduction to Unsupervised Learning
  • Clustering and its types
  • Clustering Algorithms
  • K-means in Scree-plot Dendrogram
  • Hierarchical Clustering
  • PCA in R
  • Implementation of PCA

All the above concepts will be covered in Our Data Science Course. You will become a master in all the concepts of Data Science because our trainers will make you learn very effectively. Our main goal is to make students satisfied with the training and place them in the top companies.

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Data Science Course Features

CourseJet offers the best Data Science online training with advanced features. Our world-class features will provide zeal for the learners to enroll for top training courses.

Instructor-led Sessions

30 to 45 Hrs of Data Science Online Live Instructor-Led Classes.

Expertise Faculties

Our Faculties are working Data Science Professionals in MNC Companies.

Certification & Job Assistance

After Successful completion Data Science course you will receive Globally Recognized CourseJet Certificate.

100% Job Oriented Training

Data Science Live project based on any real time scenarios.

Lifetime Access

You get lifetime access which includes Data Science class recordings and Materials.

Flexible Schedule

We will provide you Convenient Class Batches with lifetime access to our 24x7 online support team.

Data Science Certification Training

Get the Globally Recognized Data Science certification training from CourseJet under the guidance of Data Science Experts. CourseJet teaches you all the Data Science concepts with global standards.

certificate

Certification is a matter of demonstrating your skills and establishing your credibility. The certification adds significant value in getting you the jobs better in the long run. The projects which are painful are the real tasks that prepare you for the actual business world.

Becoming a Certified Data Scientist expert gives you a focused and transparent way to tell the world about your expertise and communicating your proficiency in the field of Data Science. our Data Scientist training will make you gain expertise in all the core concepts of Data Science to help you clear Data Science Certification.

The students at the end of the course are assigned to work on two distinct real-time projects. Once you complete the project assigned with expected results, our team of experts will verify and issue a Data Science Course Completion Certificate.

Data Science Certificate is the most recognized certification in the IT world. If you are unable to complete the project work, we support you and clarify your doubts and give you a chance to re-attempt the project.

  • We at CourseJet not only committed to providing you with the full-fledged Data Science training but also decided to help learners gain comprehensive knowledge of all the core concepts of Data Science to clear Data Science certification exams.
  • We do take the utmost care to design the course curriculum to cover all the Data Science Certification concepts.
  • Certification acts as a proof for your advanced Data Science skills and helps you secure your dream job.
  • At CourseJet our Data Science industry-expert professional trainers will provide you full assistance to clear multiple Data Science certification exams.
  • Upon successful completion of this Data Science Certification course, you will receive course completion certification from CourseJet.
  • This certification shows your expertise, the amount of time, and the efforts you put in mastering this Data Science domain.
  • As a professional acquiring all the Data Science certifications would benefit you to grow a career.
CourseJet follows the learning path certification process. To get the globally recognized CourseJet Data Science Course Certification, you must fulfill the below mentioned following criteria:
  • Successful completion of all the course modules presented in the Data Science course curriculum.
  • Successful completion of all the tasks and projects which were assigned by the trainer.
  • Scoring the minimum 60 percentage of marks in the quiz examination conducted by CourseJet.
Above mentioned criteria are evaluated by our Data Science trainers. If you didn’t meet our criteria, No worries our trainers will coach you to achieve it.
CourseJet’s Data Science certification is recognized in the top 100+ MNCs like TCS, Ericsson, Cisco, Cognizant, Hexaware, HP, Standard Chartered, etc. Our Students are already got the job in MNCs with CourseJet Certification.

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Career-Focused Course Material and Personal Coaching to get Job.

Data Science Projects

CourseJet not only provides you with the best Data Science training but also makes you work with real-world projects and case studies to help you gain practical knowledge.

  • Practical knowledge is very important to understand how things actually work. To put your all learning into action, you will be required to work on two industry-based live projects that will discuss the real-time use cases.
  • CourseJet Data Science Training will help you gain in-depth knowledge of all the essential concepts of Data Science through real-world examples and hands-on projects.
  • We make each and every individual work on Data Science real-time projects to face challenges during the learning period so it will be very helpful to solve problems arising in organization while in the job.
  • Working with real-time projects will make more efficient and you will get more doubts. This type of working procedure will help you achieve a lot more things in your career.

Industry: Insurance 

Project Description: This project is mainly designed to conduct predictive analysis of available data and to find out which insurance policy is best suitable for a particular age group. You can suggest the best policy scheme for your colleagues.

Topics that will be covered in this project are:

  • Statistical analysis
  • Association rule
  • Collaborative user-based filtering
  • Statistical analysis
  • Recommendation engine

Industry: Retail

Project Description: This project will help you gain practical knowledge on how to analyze customer behavior. Every customer will have different tastes in making purchase decisions. You can segregate your customer behavior under different categories. Based on their behavior and their opinion of choice you can predict whether they are going to buy or not.

Topics that will be covered in this project are:

  • Classification trees and decision trees
  • K-means clustering
  • Apriori algorithm and its deployment procedure in R
  • Association rule mining

Develop a professional portfolio Now!

Complete real-time projects, to showcase your skills to employers.

Data Science Trainer Profile

You will learn the Data Science essentials from the expert’s trainers who hold 10+ years of real-time experience in handling diversified projects.

10+ Years Experienced

Our Data Science Trainers are more than 10+ Years of experience.

Working in Top MNCs

Our Data Science Trainers are Working in a top MNC company around the globe.

Trained 2000+ Students

Our Data Science Trainers are Trained more than 2000+ Students in Data Science Courses.

Certified Professionals

Our Data Science Trainers are certified Data Science Professionals with Strong Practical Knowledge.

Certification Guidance

Our Data Science Trainers will help you in getting International Certification if available.

Completed 700+ Batches

In CourseJet, we already finished many batches successfully with certifications.

Talk to our course Trainer now

Enroll now and get a free consultation with the trainer.

Data Science Training Reviews

Our Best Data Science Teaching methodology has acquired millions of students around the globe and they shared their success stories in the form of reviews.

✎ 2567
Total Reviews
✪ 4.9
Review score
✉ 99%
Course Completions

Data Science Jobs & Placements

CourseJet has tie-up with small, medium, and large scale corporations across the world. We provide you with the complete placement assistance by forwarding your resume to the companies we tie-up with.

Yes, CourseJet is having a separate team for placement assistance from the beginning of the Data Science course.
  • Our Data Science Trainer will help you to build a proper resume for applying for jobs.
  • Our Data Science Trainers will provide top Data Science Interview Questions and necessary software installation guides.
  • We have a separate job portal, it will give a lifetime Data Science related jobs notifications for free.
  • Our Data Science trainers are working in MNCs, they will refer you to their company’s internal jobs.
  • Our CourseJet Alumni groups also providing many referring jobs to you.
  • We will work hard to provide you the job placements.
  • Yes, CourseJet will provide you 100% Job Assistance.
  • CourseJet has already trained more than 3500+ students on the Data Science course.
  • We have a 90% percent placement record and 1000+ Data Science Job Interview Organized in Last Year.

The companies that are hiring Data Scientists are listed below:

  • Microsoft
  • Google
  • Accenture
  • Amazon
  • IBM
  • Capgemini and a lot more.

According to the survey like Glassdoor and PayScale’s latest reports shows that Data Science Certified Professionals are earning an average of $185,000/- Per year in the United States. It will be based on countries, Total Year of Experience, Performances and more. Our Data Science Training leads you to get more salary than the average salary as mentioned above.

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FAQ of Data Science Training

CourseJet FAQs are designed to clear most of your doubts and also help you build power in yourself to get clarified with the rest of doubts related to that course.

Yes, We offering group discounts when you join as more than three people 10% to 30% Price discount will be provided. We also have a referral discount for those who have already enrolled in our training. Terms and conditions apply.

Yes, we will share sample recordings of this course which was recorded during the live class. It will give you a good idea about the classes and the training sessions. 

You need not worry if you miss a class because CourseJet provides live recordings of the sessions so that you can go through them just before you attend the next session. If it is one to one training classes then will be rescheduled at your convenience. 

CourseJet is the Best Online Training platform, it provides high-class services for the learners. CourseJet provides Job Assistance for the learners and also helps them in getting placed in top MNCs around the world. CourseJet offers 24/7 support, best course material, and videos.

The different modes of training offered by CourseJet are as follows:

  • Instructor-led training
  • Corporate training
  • Self-paced training

Upon successful completion of this training, you will receive Course Completion Certification from CourseJet. It is a Globally Recognized Certification in top MNCs across the world. CourseJet certification is also recommended by top experts.

Yes, CourseJet provides 100% job assistance for the learners to help them get placed in top MNCs. Our trainers will help to create perfect resumes, will share the top interview questions, tutorials and necessary software installation guides.

CourseJet Job assistance program will train you to achieve your dream job by referring your resume to tied up companies and also assisting with preparing your resumes and providing important interview questions. We will help you in the all dimension between you and recruiters companies and the final selection decisions is always depends on the recruiter by the candidate’s performance in the interview. 

Yes, it is possible by paying some extra charges and can continue learning the course from the next batch.

The system requirements required to attend this training are:

  • An operating system such as Mac OS, Windows, Linux.
  • 4 GB RAM
  • Dual-core CPU

We are Experts in corporate training by Upgrading your team member’s skills. So, please get in touch with our team through fillup the corporate training Form or contact us via our Mail Id or Phone. 

Payments can be made using any of the following options like Debit Card / Credit Card, American Express, Master Card, or PayPal and a receipt of the same will be issued to you automatically via email. 

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