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Data Science Course - Become a Certified Data Scientist

Join our online Data Science course to begin a high-paid career this year! Learn programming, data analysis & visualisation, MySQL, machine learning and more from industry experts.

Internship | Placement Assistance | Illinois Tech Certification
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Why Entri App for Data Science Course ?

80+ Recorded & Live Sessions

80+ Recorded & Live Sessions

Industry Expert Guidance

Industry Expert Guidance

Community Linking

Community Linking

Capstone Projects

Capstone Projects

Soft-Skill Training

Soft-Skill Training

Internship & Placement Support

Internship & Placement Support

Illinois Tech Certification

Illinois Tech Certification

Now Certified by Illinois Tech: Entri Elevate Data Science Course!

The Entri Elevate Data Science Course is now certified by Illinois Tech. Users who successfully complete the program will be awarded prestigious badges by Illinois Tech. Entri Elevate Data Science Course is an intenive placement oriented training in analytics, machine learning, and data visualization designed for job seekers.

Illinois Institute of Technology

Illinois Institute of Technology, commonly referred to as Illinois Tech, was established in 1890 as a private, research-oriented university with a strong emphasis on technology.

The institution provides a diverse range of undergraduate and graduate programs encompassing fields such as engineering, science, architecture, business, design, human sciences, applied technology, and law. With its unwavering commitment to technological advancements and academic excellence, Illinois Tech has earned a well-deserved reputation as one of the finest institutions for technology education worldwide.

Now Certified by Illinois Tech: Entri Elevate Data Science Course!

The Entri Elevate Data Science Course is now certified by Illinois Tech. Users who successfully complete the program will be awarded prestigious badges by Illinois Tech. Entri Elevate Data Science Course is an intenive placement oriented training in analytics, machine learning, and data visualization designed for job seekers.

Illinois Institute of Technology

Illinois Institute of Technology, commonly referred to as Illinois Tech, was established in 1890 as a private, research-oriented university with a strong emphasis on technology.

The institution provides a diverse range of undergraduate and graduate programs encompassing fields such as engineering, science, architecture, business, design, human sciences, applied technology, and law. With its unwavering commitment to technological advancements and academic excellence, Illinois Tech has earned a well-deserved reputation as one of the finest institutions for technology education worldwide.

Master Data Science in Your Native Language

Best Data Science Course Online

This comprehensive program offers a 360-degree learning experience to master the key concepts and tools of data science. Whether you're a beginner or an experienced professional, our expert instructors will guide you through hands-on projects and real-world challenges, ensuring you develop practical skills in data analysis, machine learning, and data visualization. With internship and placement support, you'll be job-ready upon completion. 

Our Professional Team

Learn from Top-Notch Mentors

Career Opportunities After Data Science Course

A wide range of career choices is ahead for those who opt for data science course. Once you complete the course, you can work on a particular branch of the field as per your interest. In almost all industries, data scientists are sought with high value. You can choose to become - 

  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Machine learning Engineer
  • Statisticians and Mathematicians
  • Business IT Analyst
  • Clinical Data Managers
  • Marketing Analyst
  • Data Architects and Administrators
 

Data Science Lead Instructors

Learn from the Industry Experts

Why Do Students Love Us?

"Data Science and Machine Learning"

Ahini Abraham, Bangalore

"Data Science and Machine Learning"

Anitta Mary Thomas, Kuttanad

"Data Science and Machine Learning"

Vishnupriya, Kerala
Hanish Kumar
Hanish Kumar

Fairoos sir explains the concepts in the simplest way. This course package is a complete study tool for anyone who wishes to become a data scientist.

Farsana T V
Farsana T V

I thought coding was complicated. I am not from a computer science background. So I had my doubts regarding the course completion. But, finally, I successfully completed the course with confidence for my new job

Vishnu Roy
Vishnu Roy

Fairoos sir has a deep understanding and experience in the concepts and his classes are engaging as well as concise. He simplified the content which made me easily understand the tools, libraries and algorithms and were really helpful to work with. The timely follow up by Aswathy mam also helped to complete this course.

Alvis John Varghese
Alvis John Varghese

The Gold DSML course provided a valuable opportunity to gain foundational knowledge in data science and machine learning. It served as an excellent entry-level course, allowing me to familiarize myself with the key concepts and principles in the field. While the course fee was slightly high, I believe it was worth the investment considering the entry it provided into the world of data science.

Navaneeth
Navaneeth

Hi, I'm Navaneeth. I express my sincere gratitude to ENTRI for helping me to grab this invaluable opportunity. As an Engineer and a Data Enthusiast, I had been ardently seeking a career transition into the dynamic realm of Data Science. ENTRI helped me in my learning journey from its very beginning stages, empowering me to secure a promising entry-level position within the field of Data Science. My heartfelt appreciation to the Faculties and Placement Team of ENTRI for this significant milestone in my professional development.

Dejena
Dejena

My journey into data science and machine learning, guided by Entri and Fairoose Sir, was transformative, with their teaching style and support opening up incredible career opportunities. Thanks to Entri's placement department, I secured a prestigious support assistant position at Ucpro and I highly recommend their courses to anyone interested in this field.

Frequently Asked Question about Data Science Course

Here are some Mostly Asked Questions About Data science Course!

Data Science is the process of analyzing and interpreting large amounts of data to extract useful insights and knowledge

Data Science is a broader field that involves using various techniques, algorithms, and tools to extract insights and knowledge from structured and unstructured data. Data Science involves not only analyzing data but also developing predictive models, creating machine learning algorithms, and building data-driven products.

On the other hand, Data Analytics focuses on extracting insights and useful information from data by analyzing it. It is a narrower field that involves collecting, processing, and performing statistical analyses on data. The main goal of Data Analytics is to uncover patterns and trends in data that can inform business decisions or improve operational efficiency.

In summary, Data Science is a more comprehensive field that includes Data Analytics, along with other techniques and tools for data processing, modeling, and product development.

Data analytics is the process of examining raw data using statistical and quantitative techniques to extract meaningful insights and information. It involves collecting, cleaning, processing, and analyzing data to identify patterns, relationships, and trends that can be used to make informed decisions. Data analytics is often used in scientific research, healthcare, and other fields where there is a large amount of data to be analyzed

Business analytics, is the use of data and statistical methods to drive business decisions and improve performance. It involves using data to identify opportunities for growth, optimize business processes, and make better decisions. It is often used in marketing, finance, and operations to improve performance and increase profitability.

In summary, data analytics focuses on the analysis of data to uncover insights and information, while business analytics focuses on using data to drive business decisions and improve performance.

We would like our learners to follow our curriculum and timeline to get the best out of this program. This program is time bound and our mentors will be following the curriculum to the dot.

We have 4 kinds of sessions in this program


Core session: Curriculum will be covered in this session.

Coding skills session: Basic coding skills and latest coding trends will be covered in this session

Soft skill session: Communication skills, Interview skills, GD skills, English communication etc will be covered in this session

Industry Expert session: Experts from global companies will give an insight about latest industry relevant topics, career journey, best practices etc.


Core sessions: 1 - 2 sessions per week will be there with a timespan of 1 - 1.5 hours. Maximum 30 learners per batch

Coding Skill, Soft Skill and industry expert sessions will be 1 session per week. This will be multiple batches combined sessions to drive community engagement.

Operating Systems: Windows 10 or 11 (Home or Pro), Mac: High Sierra or later, Linux: any recent distribution

CPU: Intel i5 minimum,Intel i7 or i9 preferred

Hard Drive: minimum 256GB

RAM: minimum 4GB

Learners will be given a capstone project which will be an industry relevant project. The Capstone project needs to be done as a team. Once the capstone project is completed within the stipulated time frame, our academics team will evaluate the outcome and once the completion is approved, you will be awarded the internship certificate.

The recorded videos in the app will be available for 1 year from the purchase date. Each batch (live sessions) will have a duration of 8 - 9 months.

Having a background in Computer Science, Mathematics, and Statistics can be very helpful in studying data science. However, it's not a strict requirement. Data science is an interdisciplinary field that involves many different areas of expertise, including computer programming, statistics, mathematics, and domain-specific knowledge

For example, if you are interested in data science in the healthcare industry, having a background in healthcare would be beneficial. Similarly, if you are interested in data science in the finance industry, having knowledge of finance and economics would be helpful.

That being said, a solid understanding of computer programming, mathematics, and statistics is crucial in data science. These skills are necessary to collect, clean, analyze, and visualize data. Without these skills, it can be difficult to manipulate data effectively, and draw meaningful insights from it.

Therefore, while having a background in computer science, mathematics, and statistics is not an absolute requirement to study data science, it is highly recommended to have a strong foundation in these areas

For a data analyst / business analyst job, learning coding is not mandatory, but it is beneficial. Having some knowledge of programming will enhance your ability to work with data and increase your efficiency and improve the job prospects.

For a data scientist / Machine learning engineer job, coding is an absolute must.

Data Analyst, Data Scientist, Financial Analyst, Market Researcher, Operations Research Analyst, Business Analyst, Business Intelligence Executive, Strategy Consultant etc.

Career support team will get in touch with the learner towards the end of the program. They will help the learner in resume building, interview skills and LinkedIn profile building. Upon successful completion of the program, the career support team will match the job opening with the eligible candidate and will refer the candidate to the hiring partner.

It is to be noted that the selection is completely hiring partner’s prerogative and it depends on the company hiring policies.

For data analyst you can expect the salary to start from 2LPA and can go up to 10 LPA. This completely depends on the company, the job location and primarily your skill set

Your chances of getting a job depends on multiple factors. Your skill set and the experience you gain by doing a lot of real world projects will help. However companies have hiring policies wherein they have restrictions on hiring people with extended career break, some academic backgrounds, age etc.

But if you complete this program and gain enough experience and skills, you will be able to get freelance opportunities and earn even if you are not meeting hiring eligibility criterias

Also, the career support team is region agnostic, which means we cannot guarantee an interview based on your location preference. Interviews will be arranged based on the matching skill set and eligibility with respect to the job opening. We have hiring partners Pan India.

  • Software Engineers who wish to be Data scientists / Data Analyst / Business Analyst etc
  • Entry level graduates who wish to start their career as data analysts
  • Marketing / Finance / Healthcare professionals who wish to apply analytics
  • Non technical business analysts
  • Learners from any background can join the course who are interested in solving problem through data

The program can be taken by anyone who is interested in problem solving with a data centric approach. However the program is best suited for learners who have an undergraduate degree. High School and associate degree / diploma graduates can also pursue this program

After completing payment, users will get a welcome call from the User Happiness team within 24 hrs and a form will be shared to complete the profile. Users will be added to platforms (Slack / WhatsApp group) before the commencement of the batch.

You can watch the recorded videos on your mobile. However, to do the tasks and projects given to you, you should have a functioning laptop.

You can expect to learn problem solving with a data centric approach. How data can be used to solve business problems and take important business decisions. The curriculum consists of recorded content, live sessions, industry expert sessions, career coaching sessions and projects which will make you a skilled data science professional.

Just by joining this program, a new job / job switch should not be expected. You should be committed and devote 12 - 15 hours per week on learning, attending live sessions, and completing the projects given. You won’t be able to progress unless you are committed and focussed.

It would require at least 12-15 hours of time commitment per week from the learner’s side.

  1. Eligibility for Refunds: Learners can avail a refund within 30 days of joining the batch. No refund request will be entertained under any circumstance after 30 days of joining the batch. Refunds are not applicable to the recorded video subscriptions.
  2. Refund Process: To request a refund, learners must contact our User Happiness Team and raise the refund request. Our team will analyze the case and decide on the refund. If approved, learners will receive the refund within 30 working days after approval.
  3. Learners will continue to pay the monthly EMI for loan (if applicable) and such loan cannot be canceled.
  4. Refund Amount: Refund amounts will be determined based on the following conditions (Once your refund request is approved):
    1. Before the batch starts, there will be an operational cost deduction of 20% of the paid amount or Rs 3000 whichever is the highest
    2. Once the batch starts, a deduction of 40% of the paid amount or Rs 6000 whichever is highest will be applicable.
    3. No refund requests will be entertained after 30 days from the date of batch commencement.
  5. Exclusions: Refunds are also not applicable to learners who have completed more than 30 days in the batch.
  6. Changes to the Refund Policy: We reserve the right to modify or update this refund policy at any time without prior notice. Any changes to the policy will be posted on our website

ScenarioFee deducted / Charged
Before batch commencement20% of the program fee paid or Rs 3000 (Whichever is highest)
Post batch commencement up to 30 days40% of the program fee paid or Rs 6000 (Whichever is highest)
Post 30 days of batch commencementNo Refund
  • If a Learner, due to unavoidable circumstances is unable to commence with the batch and requests for a deferral before the batch Commencement date, Learner will have an option to defer to another batch.
  • There is no cost involved in changing the batch. However, you can raise a maximum of 1 batch change request and our academics team has to approve the batch change request.
  • A Learner can request for deferral once to a batch which starts within the next 6 months from the batch start date of the initial batch the Learner enrolled for. For example if the initial batch commencement was January 1, the deferral batch commencement date should be within June 1.
  • Learners can apply to defer a batch till 30 days from the commencement of the batch.
  • Only one deferral request will be entertained once the batch commences.
  • No additional fee is applicable for deferrals
  • Post 30 days, no batch deferrals will be entertained
  • The deferred batch will be a fresh batch and not from where the user paused the initial batch. For example if the learner paused the first batch when the topic was javascript, the new batch will be from beginning of the courseware and not from javascript

ScenarioDeferral policy
Before batch commencementNo deferral fee.
Learners can do one batch deferral request provided the batch is not commenced.
The deferred batch commencement should be within 6 months from the first batch commencement date learner opted for.
After batch commencementLearner can request once for batch change / deferral within 30 days of batch commencement
No deferral fee

Take these important steps to become a skilled data scientist. Start by laying a strong academic foundation by earning a bachelor's degree in a subject like statistics or computer science. This develops fundamental programming, arithmetic, and statistical abilities.

Next, learn essential programming languages for data analysis, such as R or Python. Develop your skills with tools like Pandas, NumPy, and SQL to manipulate data effectively. Utilizing tools like scikit-learn, put your understanding of machine learning principles and algorithms into practice. Display your abilities with a wide range of projects that tackle practical issues in the real world.

In this constantly evolving sector, it is essential to never stop learning. Consider pursuing higher degrees or certifications, as well as continuing education to keep current on trends. Make connections with the data science community through online discussion boards and conferences to learn from experts' experiences and views.

To improve your marketability and obtain real-world experience, look for internships or entry-level jobs. A solid educational background, a varied portfolio, ongoing education, networking, and real-world experience are all necessary for success in the fast-paced area of data science.

Indeed, machine learning and data science will make great careers in 2024. There is a strong market for qualified machine learning engineers and data scientists, and the pay is attractive. Furthermore, because the sector is perpetually changing, there are always fresh chances for development and learning.

Data Science & Machine Learning Course - Curriculum

  • Introduction
  • Data Structures
  • Functions
  • Numpy
  • Pandas
  • Matplotlib
  • SQL Introduction
  • SQL Commands
  • Conditional Selections & Operators
  • SQL Functions
  • What is Statistics?
  • Dispersion Measures
  • Data Distributions
  • Sampling
  • Hypothesis Testing
  • Chi-Square test
  • Test for Continuous Data
  • Correlation vs Regression
  • Exploratory Data Analysis
  • Machine learning Introduction
  • Regression VS Classification
  • Model Building
  • Machine learning Techniques
  • Decision Trees
  • Ensemble Model Techniques
  • Random Forest
  • Boosting algorithms
  • Optimization Techniques
  • Unsupervised Learning
  • Association rules
  • Clustering
  • Dimensionality Reduction
  • Deep Learning
  • Data visualization using tableau
  • Basics Of Tableau.
  • Customer churn Analysis
  • Cab fare prediction
  • Loan Prediction
  • Image Classification
  • Databases
  • Flask Api
  • Cloud Models
  • Kaggle
  • Google Cloud
  • GitHub
  • Docker
  • Introduction
  • Data Structures
  • Functions
  • Numpy
  • Pandas
  • Matplotlib
  • SQL Introduction
  • SQL Commands
  • Conditional Selections & Operators
  • SQL Functions
  • What is Statistics?
  • Dispersion Measures
  • Data Distributions
  • Sampling
  • Hypothesis Testing
  • Chi-Square test
  • Test for Continuous Data
  • Correlation vs Regression
  • Exploratory Data Analysis
  • Machine learning Introduction
  • Regression VS Classification
  • Model Building
  • Machine learning Techniques
  • Decision Trees
  • Ensemble Model Techniques
  • Random Forest
  • Boosting algorithms
  • Optimization Techniques
  • Unsupervised Learning
  • Association rules
  • Clustering
  • Dimensionality Reduction
  • Deep Learning
  • Data visualization using tableau
  • Basics Of Tableau.
  • Customer churn Analysis
  • Cab fare prediction
  • Loan Prediction
  • Image Classification
  • Databases
  • Flask Api
  • Cloud Models
  • Kaggle
  • Google Cloud
  • GitHub
  • Docker