Requirements
- Basic computer skills (file handling, internet, installing software)
- Comfort with numbers (basic math: % , average, ratios; not advanced)
- Basic statistics understanding (mean/median, probability basics)
- Logical thinking (if-else type reasoning, problem-solving mindset)
- Excel basics (filters, sorting, simple formulas) — helpful
- Programming basics (optional): not mandatory, but helps if you know any language
- Laptop/PC: minimum 8GB RAM (16GB recommended), i5/Ryzen5 or similar
- Stable internet for online sessions and project downloads
- Willingness to practice: 5–8 hours/week for assignments + projects
Features
- Live Project-Based Training
- Expert-Led Sessions
- Flexible Learning Options
- Interactive Learning
- Smart Labs with Advanced Equipment
- Unlimited Lab Access
- Comprehensive Study Material
- Globally Recognized Certification
- One-on-One Mentorship
- Career Readiness
- Job Assistance
Target audiences
- 12th pass students (from any stream) who want an IT career start
- College students (BCA/BSc/BTech/BE/BA/Commerce) planning data roles
- Fresh graduates looking for Data Analyst / Jr Data Scientist jobs
- Working professionals who want a career switch into data/AI
- Software developers who want to move into ML/AI projects
- Business/Finance/Marketing professionals who want data-driven skills
- Excel/MIS/Reporting professionals upgrading to analytics + Python
- Professionals preparing for higher studies or research in AI/ML
- Entrepreneurs/startup teams who want to use data for decisions
Data Science Course in Gurgaon | Data Science Training in Gurgaon
analyzing patterns, building machine learning models, and explaining results to teams. The curriculum follows the full workflow from raw data to insights, with a clear focus on hands-on practice.This Data Science training in Gurgaon is designed for students, working professionals, freshers, and career switchers. You learn through instructor-led labs, guided assignments, and project work using tools employers expect, such as Python, SQL, Jupyter Notebook, Pandas, NumPy, scikit-learn, Power BI/Tableau, and GitHub.
By the end of the Data Science Course in Gurgaon with placement support, learners usually have 2–4 portfolio-ready projects, a better grip on statistics and ML basics, and interview readiness for roles in analytics and entry-level data science.
The Data Science Course in Gurgaon at Ascents Learning is built to help you do three things well: work with data
confidently, model problems with machine learning, and communicate results clearly.
You’ll learn how to:
- Prepare datasets from Excel/CSV and databases
- Perform EDA (exploratory data analysis) to find patterns and trends
- Apply statistics in real scenarios (sampling, hypothesis testing, confidence intervals)
- Build ML models for common use cases: regression, classification, and clustering
- Validate models with correct metrics (F1, ROC-AUC, RMSE, MAE)
- Build dashboards and reports using Power BI or Tableau
- Present findings with clear reasoning, not just charts
Who Should Enroll
This Data Science training in Gurgaon works best for learners who want a structured path, regular practice, and measurable output.
Students (UG/PG)
- Want internship projects and job-ready skills
- Need confidence with Python, SQL, and dashboards
Freshers
- Want a portfolio that proves practical ability
- Need interview-focused training on tools and problem solving
Working Professionals
- Want to transition into data roles from IT, operations, finance, sales, support, or QA
- Prefer guided practice and mentor feedback over self-study
Career Switchers
- Want a step-by-step roadmap into analytics/data science
- Need real projects that match hiring expectations
Helpful but not required
- Comfort with basic math and charts
- Willingness to practice consistently
Learning Outcomes
After completing the Data Science Course in Gurgaon, you should be able to handle real tasks from data collection to model evaluation.
Data Handling & SQL
- Clean data (missing values, duplicates, outliers, text standardization)
- Analyze data using Pandas and NumPy
- Write SQL for analytics: joins, aggregations, filtering, grouping, and window functions (basics)
Statistics & Business Reasoning
- Work with distributions, correlation, and variance
- Use confidence intervals and hypothesis testing correctly
- Recognize common analysis mistakes (wrong metric, leakage, bias)
Machine Learning (Job-Focused)
- Train models with scikit-learn
- Use evaluation properly: accuracy, precision, recall, F1, ROC-AUC, RMSE/MAE
- Improve results with feature engineering and tuning basics
- Explain model behavior in simple terms (what changed, why it matters)
Visualization & Communication
- Create visuals in Matplotlib / Plotly
- Build dashboards in Power BI or Tableau
- Turn analysis into clear recommendations for stakeholders
Portfolio & Collaboration
- Use Git/GitHub to manage and share code
- Write project documentation (problem → approach → results → limitations)
- Build interview-ready project walk-throughs
Teaching Methodology
Ascents Learning runs the Data Science Course in Gurgaon with a practical setup so learners build skill through repetition, feedback, and projects.
Typical learning format includes:
- Instructor-led hands-on sessions (Python, SQL, ML, BI)
- Guided labs with real datasets
- Weekly assignments for consistency
- Mini projects after major topics (SQL + EDA + ML + dashboards)
- Capstone project (end-to-end problem solving)
- Mentor feedback on code, approach, and project clarity
- Placement support: resume and LinkedIn improvements, GitHub portfolio structure, mock interviews (technical + HR), and role mapping
This structure is helpful for learners choosing a Data Science Course in Gurgaon With Placement support, because it creates proof of work, not just course completion.
Tools & Technologies Covered
This Data Science training in Gurgaon covers the tools that are commonly used in analytics and entry-level DS roles.
Programming & Notebooks
- Python
- Jupyter Notebook (Colab basics optional)
Core Libraries
- Pandas, NumPy
- Matplotlib, Plotly
Databases
- SQL (MySQL/PostgreSQL concepts)
Machine Learning
- scikit-learn
- Model validation basics (cross-validation, train/test split)
- Feature engineering concepts
- Pipelines basics
BI & Reporting
- Power BI or Tableau (KPIs, visuals, filters, dashboards)
Collaboration
- Git, GitHub
- Project documentation and version control practices
Intro Topics (basic exposure)
- NLP basics (text cleaning, vectorization)
- Time series basics (trend/seasonality concepts)
- API + deployment concepts (Flask/FastAPI overview)
Certification & Industry Recognition
After completing the Data Science Course in Gurgaon, learners typically receive a course completion certificate from Ascents Learning.
What makes the certificate more meaningful for hiring:
- A portfolio of projects with clear outcomes
- A GitHub profile with readable notebooks and code
- The ability to explain model choices and evaluation metrics
In interviews, your project walkthrough usually matters more than the certificate alone, so the course focuses heavily on project clarity.
Career Opportunities After Completion
After the Data Science Course in Gurgaon with placement support, learners often apply for entry-level roles based on their strengths and
project work.
Common roles:
- Data Analyst
- BI Analyst (Power BI / Tableau)
- Junior Data Scientist
- Business Analyst (data-focused)
- Machine Learning Intern / Trainee
- Product Analyst (analytics-heavy teams)
Skills employers often test:
- Python + SQL fundamentals
- Data cleaning and EDA
- Correct metric selection and interpretation
- Basic ML modeling with scikit-learn
- Dashboard/reporting knowledge
- Clear communication and project explanation
Why Choose Ascents Learning
If you’re searching for the Best Data Science Course in Gurgaon, it helps to evaluate the program by outputs: projects, tool confidence, and interview readiness.
Ascents Learning is chosen for:
- Practical training with real datasets and guided labs
- Project-based learning (mini projects + capstone)
- Mentor support and structured doubt clearing
- Strong coverage of hiring tools (Python, SQL, Power BI/Tableau, GitHub)
- Placement support: resume, LinkedIn, mock interviews, and role mapping
- Flexible learning modes (online/offline/hybrid depending on batch)
As a Data Science Training Institute in Gurgaon, Ascents Learning keeps the learning aligned with real job tasks and real evaluation methods.
If you want a practical Data Science Course in Gurgaon with structured training and placement support, connect with Ascents Learning for batch schedules, curriculum details, and the right learning track based on your goals.
Call: +91-921-780-6888
Website: www.ascentslearning.com
Curriculum
- 6 Sections
- 146 Lessons
- 22 Weeks
- Module 1: Python FundamentalsIntroduction to Python26
- Module 2: SQL and Database FundamentalsIntroduction to Databases53
- Module 3: ML Statistics for BeginnersIntroduction: Role of statistics in ML, descriptive vs. inferential stats. Descriptive Statistics: Mean, median, variance, skewness, kurtosis. Probability Basics: Bayes' theorem, normal, binomial, Poisson distributions. Inferential Statistics: Sampling, hypothesis testing (Z-test, T-test, Chi-square). Correlation & Regression: Pearson correlation, linear regression, R² score. Hands-on in Python: NumPy, Pandas, SciPy, Seaborn, and statsmodels.57
- Module 5: ML Model Deployment with Flask, FastAPI, and Streamlit6
- Module 6: Final Capstone ProjectDevelop an end-to-end solution that integrates multiple technologies:1
- Tools & Technologies Covered3




