Data Science Course Overview

Unleash your potential through our comprehensive Data Science Course which is designed to help you get the most marketable skills in the field. This Data Science education course will familiarize you with the basics of Data Science and then move to the advanced methods so that by the end of the course, you will be work-ready. You will study Data Science within a practical-based curriculum that will teach you all the things related to data analysis and visualization, as well as machine learning and predictive modeling.

The need for skilled data professionals has increased, and it is estimated that the global data science platform market will increase significantly by 2025. The organization of our course is aimed at fulfilling this need directly. Our Data Science with Python modules, essential tools, and languages will help you master important tools and languages, and create a portfolio of real-world projects. By doing this, a practical approach means that you will not just learn the theory but can also use it to solve complicated business problems, which will make you ready to graduate certification and career in Data Science.

You can enter the world of a skilled data scientist with our program and our training approach is unlike any other one. We are convinced in providing practical skills and career guidance to our students.

Discover why so many data science aspiring professionals opt to study at Gyansetu.

Why Choose Gyansetu’s Data Science Course?

At Gyansetu, we are not only training data science, but we are creating data scientists. We have a different approach, which is based on practical and hands-on education and career assistance to make you succeed.

  1. Updated Curriculum: The course material created by us is the work of industry experts, so that you can acquire the most pertinent and marketable skills.
  2. Hands-on Project: Develop an actual portfolio of seven real life projects, providing you with the practical skills that employers expect of a Data Science with Python professional.
  3. Live Sessions: We have the best experts of data science who will teach you directly with years of real-world experience in each lesson.
  4. Dedicated Career Support: Our staff offers career guidance tailored to your needs, whether that is resume creation, going through a job interview or starting your dream career.
  5. Recognized Certification: Get a Data Science Certification that is accepted by employers all over the globe and certifies your skills and competencies.
  6. Flexible Learning: The online Data science course is made to fit in your life with flexible work schedules and the students.
  7. Comprehensive Learning: Our program is suitable to anyone, with an easy roadmap of getting to learn Data Science as a beginner or advanced.
  8. Small Batch Sizes: To guarantee personalized attention to learning and enhance the learning results, we keep the interactive sessions in small batches.
  9. Lifetime Content Access: Review course materials, recorded sessions, and projects materials whenever you want to refresh up on them during your career.
  10. Proven Placement Record: Network with successful alumni who have been able to get jobs in leading firms following our Data Science program.

data-science-course

 

 

Key Highlights of Data Science Course

100% Placement Support
Unlimited Course Repeats
Mock Interviews
1:1 Doubt Sessions
Flexible Timing
Real Industry Projects

Placement Stats in Data Science Course

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Maximum salary hike
135%
Average salary hike
75%

Our Data Science Alumni in Top Companies

Data Science Course Placement Highlights

data analytics institute in gurgaon Shefali Agarwal
80 % Hike
Lead Analyst
Evalueserve
accenture
Analytics Specialist
Accenture
Ankit
100 % Hike
MCA
Fresher
Associate Consultant
Ernst & Young

Batches Timing for Data Science Course

Track Weekdays (Tue-Fri) Weekends (Sat-Sun) Fast Track
Course Duration 5 Months 6 Months 45 Days
Hours Per Day 2-3 Hours 3-4 Hours 6 Hours
Training Mode Classroom/Online Classroom/Online Classroom/Online

Data Science Certification Course

At the end of our Data Science training, you will get a highly regarded certification that certifies your employees to prospective employers. This is an impressive credential worth being proud of and will be posted to your LinkedIn profile, resume and professional portfolio to demonstrate your professionalism.

We have a Data science certification which is unique in three ways:

  • Industry Recognition: It is accepted in the top companies in the world, which proves that you are equipped with practical skills that they require.
  • Authenticity and Verification: The certificates would have a special code that can be verified and hence it is authentic to the prospective employers.
  • Career Impact: This certification will help you increase your professional credibility and greatly increase your chances in the competitive job market.
data science course certification

Data Science Course Curriculum

Our holistic curriculum is geared towards practical learning that is industry applicable. We emphasize applied skills and practice and make sure that you learn the tools and techniques that the best employers are asking of data science professionals.

SQL

Learn how to handle the database, complicated queries, and manipulators. In order to handle data efficiently, learn to use SQL operators, functions, subqueries, views, joins and query optimization.
  • 13 Modules

Power BI

Build interactively and visually impressive data visualizations. You will become familiar with the work of DAX functions and with case studies that you should be able to work with real raw data and convert it into information.
  • 12 Modules

Python for Data Science

Become a Python programmer. Our subjects include web scraping, NumPy and Pandas to analyze data and automation as a way of simplifying data operations.
  • 12 Modules

Statistics for Data Science

Learn the fundamentals of statistics that drive data analysis such as probability, descriptive statistics, hypothesis testing, normal distribution, and sampling methods.
  • 4 Modules

Machine Learning

Learn AI and ML, supervised and unsupervised learning. You will have practical experience on creating, training and deploying predictive models.
  • 12 Modules

Advanced Excel

Master advanced spreadsheets with advanced formulas, pivot tables and data analysis. Know how to create business reports and automate with the help of macros.
  • 15 Modules

Industry Ready Data Science Projects

We prepare our learners for job from day one with the help of industry ready projects. These projects depicts real business problems across various industries.
Designed by Industry Experts
Get Real-World Experience
Customer Churn Prediction (Telecom/Banking)

Customer Churn Prediction (Telecom/Banking) 

  • Business Problem: High customer attrition impacts revenue and growth. Proactive retention is required to minimize losses. 
  • Overview: Predict customer churn likelihood and identify key factors driving churn to enable strategic retention efforts. 
  • Tool Stack: Python, SQL, scikit-learn 
Recommendation Engine (E-commerce/OTT)
  • Business Problem: Users are overwhelmed by choice, leading to lower engagement and lost sales opportunities. Without personalized discovery, the platform fails to maximize the lifetime value of its subscriber base.
  • Objective: Build collaborative and content-based recommendation systems to deliver personalized suggestions, increasing user engagement and driving higher conversion rates similar to industry leaders.
  • Tech Stack: Python, NumPy, scikit-learn, Surprise library, Flask
Credit Risk & Loan Default Prediction (Banking)
  • Business Problem: Approving loans for high-risk applicants leads to increased default rates and financial instability. The manual vetting process is slow and often fails to capture complex risk patterns in applicant data.
  • Objective: Construct risk assessment models to accurately predict the likelihood of loan defaults, supporting smarter lending decisions and minimizing the bank’s exposure to bad debt.
  • Tech Stack: Python, pandas, scikit-learn, Logistic Regression, XGBoost
  • Business Problem: Manually sorting thousands of customer support tickets is slow, prone to error, and delays resolution times. This inefficiency leads to poor customer satisfaction and high operational overhead.
  • Objective: Automate the categorization of support tickets using Natural Language Processing to ensure issues reach the right department instantly, reducing response times and improving service efficiency.
  • Tech Stack: Python, NLTK, spaCy, scikit-learn, TF-IDF
  • Business Problem: Fraudulent transactions cause direct financial losses and erode customer trust. Traditional rule-based systems are often too slow to catch sophisticated, evolving fraud patterns in real-time.
  • Objective: Develop an anomaly detection system to identify and flag suspicious transactions as they happen, minimizing financial risk and protecting the integrity of the payment ecosystem.
  • Tech Stack: Python, scikit-learn, Isolation Forest, SMOTE, pandas
  • Business Problem: One-size-fits-all marketing campaigns result in low engagement and wasted budget. The business lacks a clear understanding of the diverse needs and spending behaviors of its customer base.
  • Objective: Apply clustering algorithms to group consumers into distinct segments based on behavior, enabling marketing teams to design highly targeted campaigns that drive engagement and ROI.
  • Tech Stack: Python, scikit-learn, K-Means Clustering, Seaborn, pandas
  • Business Problem: Missed medical appointments disrupt clinical workflows, waste expensive resources, and delay care for other patients. These “no-shows” represent a significant operational and financial burden for healthcare providers.
  • Objective: Forecast the probability of patient no-shows to optimize clinic scheduling and allow for proactive reminders, ensuring maximum resource utilization and improved patient outcomes.
  • Tech Stack: Python, pandas, scikit-learn, Random Forest, Matplotlib
clock-icon
480+
Hours of content
video
120+
Live sessions
hammer
9+
Tools and software

Data Science Skills you can add in your CV

Data Science Tools Covered

What Sets This Program Apart?

GyanSetu
Other Courses
Complete Data Science Stack

✔ Python + Statistics
✔ Machine Learning
✔ AI & Deep Learning
✔ Generative AI tools

✘ Limited syllabus
✘ No AI integration

Beginner to Advanced Roadmap

✔ Starts from basics
✔ Step-by-step learning
✔ No coding required

✘ Assume prior knowledge
✘ No clear path

Hands-On Learning

✔ 70% practical training
✔ Real datasets
✔ Case studies & projects

✘ Theory-heavy
✘ Minimal practice

Real Industry Projects

✔ Live projects
✔ Capstone projects
✔ Business problem solving

✘ Academic projects
✘ No real exposure

Machine Learning & AI Focus

✔ ML models
✔ Predictive analytics
✔ AI-based solutions

✘ Basic ML theory
✘ No real implementation

Tools & Technologies

✔ Python, Pandas, NumPy
✔ Scikit-learn
✔ Power BI / Visualization
✔ AI tools

✘ Limited tools
✘ Outdated tech

Industry Mentors

✔ Data Scientists as trainers
✔ Real-world experience
✔ Doubt support

✘ Theoretical trainers
✘ No industry exposure

Placement Support

✔ 100% assistance
✔ Resume & interview prep
✔ Hiring support

✘ No placement support

Flexible Learning

✔ Weekday / Weekend
✔ Online + Offline
✔ Fast-track option

✘ Fixed schedule

course in gurgaon
Who is this course for?
  • Aspiring Data Scientists/ AI Professionals
  • Software Engineers
  • Data Analysts
  • Career Changers
  • Statisticians
  • Academic Researchers and Educators

Career Assistance for Data Science Course

briefcase
Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

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Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

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Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

briefcase
Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring for Data Science Role

Honours & Awards Recognition

Awarded by GD Goenka University
GD Goenka University
Gyansetu conducted Power BI training for Livpure employees
Livpure
Gyansetu conducted Advanced Excel training for Denso International Employees
Denso International
Gyansetu conducted Full Stack Development training for ReverseLogix employees
ReverseLogix
Gyansetu conducted Advanced Java training for BML Munjal University students
BML Munjal University
Gyansetu conducted workshop on Cloud Computing and Data Analytics for Manav Rachna University students
Manav Rachna University
Gyansetu conducted Java workshop for GLA University students
GLA University
Gyansetu conducted Data Analytics Workshop for DPGITM students
DPGITM
Certificate Issued to Gyansetu by GD Goenka University
GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Have Questions? Speak to Our Lucknow Experts!

Our Learners Testimonials

Pawan Kumar
I joined Gyansetu institute for Data Science, faculty is brilliant here. Training got completed in around 6 months.
Shruti Aggarwal
Gyansetu's practical learning methodologies have been invaluable. Institute focuses on hands-on projects and industry-relevant curriculum equipped me with the skills needed to analyze complex datasets and derive actionable insights for my organization.
Divya Singh
I was passionate about data analysis it was an amazing experience learning Data Analytics from Gyansetu. Here the faculties helped me learn from the basics to advanced concepts and with the practice on real projects I was able to crack the job.
neeraj verma review
self assessment
Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

FAQs: Data Science Course

Q1: What is Data Science and why should I learn it?

Data Science is an interdisciplinary domain with scientific methods, processes, algorithms and systems used to gain knowledge and insights of structured and unstructured data. By studying data science, you have the skills needed to solve complex problems, make decisions based on data, and open career opportunities to high-paying jobs in any industry you work in. The course of Data Science will offer the ideal preparation for this thrilling profession.

Q2: Is this Data Science course suitable for beginners?

Absolutely. The course is aimed at every type of learner with or without any background in programming or statistics. We begin with the basics and then progress through to sophisticated subjects. Having a well-organized curriculum and highly qualified assistance is a guarantee of a stress-free process of learning as you embark on your Data Science training and make a career out of being a well-versed data expert.

Q3: What are the prerequisites for enrolling in this course?

No necessary requirements exist in this Data Science course. All you need is a little knowledge of mathematics and a great wish to study. All the background training on programming and statistics is offered. This will allow us to make our program available to any fresh graduate, working professional, and any other person who may wish to change their career path to data science.

We have a Data Science training program which is presented so that you can complete within 4-6 months, depending on your learning pace. The adaptable time schedules with the weekend classes and recordings give you the chance to make the most of your studies and working or other responsibilities. We make sure that you develop proper knowledge of everything without haste.

After graduating our course, you will be ready to work in many different roles: Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and AI Specialist. The skills that you gain are very marketable in other sectors such as finance, healthcare, e-commerce, and technology. The placement assistance department will guide you through the job market to secure the appropriate opportunity based on skills.

Yes, we also offer special placement service to all our students. This will involve resume and portfolio development sessions, mock interviews with the industry professionals and our network of recruitment partners. This is because we aim to prepare you to be job-ready and to successfully make the transition to a data science position once you complete your Data Science certification.

Data scientists have highly competitive salaries which depend on experience, location, and company. Data scientists at the entry level should be prepared to face an exemplary salary which increases tremendously with experience. Leading technological firms and financial organizations provide high-paying packages to the experienced professionals who have undertaken an advanced Data Science course and have practical skills.

In our curriculum, the most critical tools and technologies applied in the industry are addressed. You will have practical knowledge of Python language and Python libraries (Pandas, NumPy, Scikit-learn), SQL to manage the databases and data visualization tools such as Power BI and Tableau. This learning experience guarantees that you are highly prepared to work with real data problems in the world.

Yes, we are all about practical learning. Seven projects within the industry will be created, such as a customer churn prediction system, recommendation system, and fraud detection system. The experience is very important in affirming your studies and displaying your skills to prospective employers when attending job interviews.

Our Data Science certification is a worldwide-known and employer-approved one. It is also a showing of your practical skills and the deep understanding of the data science lifecycle. All certificates are provided with their own unique, verifiable code providing an added level of authenticity that will help you to shine among other people in the competitive job market and increase your professional credibility.

Our program is of high quality, which is why we guarantee satisfaction. Our terms and conditions contain detailed information regarding our refund policy, i.e., time and eligibility requirements. Before joining this course, we believe you should have a conversation with our academic advisors so that this course on Data Science can be relevant to your future career.

We have experienced instructors who have more than 10 years of experience in the leading companies in the field of data science. They also possess a treasure trove of useful knowledge and real world experience to bring in the classroom, not just a mere theory, but a practical demonstration of how data science is used in the industry. Mentorship is a priceless experience in the process of learning.

We provide services that are very well-rounded to make you successful. This will involve 24/7 access to our learning portal, live doubt clearing sessions with tutors and peer-peer learning through a specific community. We have a support team that is readily available to help in any technical or academic question that may arise and provide a smooth and productive learning process.

No, you are not supposed to have prior coding experience. Our Data Science with Python course is a course that will teach you programming. We begin with the fundamentals of Python and develop your competencies step by step. This strategy will enable our course to be available to non-technical people who are eager to learn data science and begin a new career.

Our degree is a practice-based, industry-oriented, alternative to a conventional degree. A degree is a well-rounded foundation but a job ready degree in our program is more important, practical projects and an expedited route to a job. It is also created in partnership with specialists in the field of industries to address the existing requirements in the market, thus making it an effective means to begin a career in data science.

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