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Python for Data Science Course in Laxmi Nagar
Introduction
Learn Python from Scratch & Build Real-World Data Projects | Hands-On Training | Certification
Unlock your career in analytics, machine learning, and AI with DSTI’s Python for Data Science Course in Laxmi Nagar. This course is designed for beginners and professionals alike—no prior coding knowledge required. Over 6–8 weeks, you’ll master Python programming and its powerful libraries for data analysis, visualization, and predictive modeling.
Our curriculum blends theory with practical implementation, equipping you with in-demand skills that top employers seek in Data Science roles.
Python for Data Science CourseModules
- Understand the role of Python in modern data science workflows.
- Learn Python basics: syntax, variables, data types, and control structures.
- Explore key concepts like data pipelines, data exploration, and preprocessing.
- Install Python, Jupyter Notebooks, and essential libraries for hands-on practice.
- Work with lists, tuples, sets, and dictionaries for structured data handling.
- Create user-defined functions and understand Python’s built-in methods.
- Learn about conditional statements, loops, and error handling.
- Use lambda functions, map/filter/reduce for efficient coding practices.
- Load, clean, and manipulate large datasets using Pandas DataFrames.
- Perform filtering, sorting, and grouping operations for deeper analysis.
- Handle missing data, outliers, and duplicates with ease.
- Merge, join, and reshape datasets for advanced data wrangling.
- Understand arrays, matrices, and multi-dimensional data structures.
- Perform mathematical operations, slicing, indexing, and broadcasting.
- Apply statistical and linear algebra functions for numerical analysis.
- Optimize data operations using vectorized NumPy functions.
- Create line plots, bar charts, histograms, and scatter plots using Matplotlib.
- Use Seaborn for statistical plots like boxplots, heatmaps, and pairplots.
- Customize graph aesthetics (colours, titles, axes) for clear insights.
- Combine plots and subplots to tell compelling data stories.
- Import data from CSV, Excel, JSON, APIs, and databases.
- Clean and transform real-world messy datasets for analysis.
- Perform exploratory data analysis (EDA) using visual and statistical tools.
- Apply data sampling, aggregation, and filtering techniques.
- Learn statistical measures: mean, median, mode, variance, and standard deviation.
- Understand probability theory and distributions used in data science.
- Perform hypothesis testing, confidence intervals, and correlation analysis.
- Apply statistical insights to real-life datasets for decision-making.
- Understand machine learning types: supervised and unsupervised.
- Learn model building, training, and testing using Scikit-learn.
- Work with algorithms like linear regression and k-means clustering.
- Evaluate model performance using accuracy, confusion matrix, and more.
- Solve real-world business problems using data-driven approaches.
- Apply Python, Pandas, and ML techniques to case studies.
- Learn data storytelling and actionable insight generation.
- Practice end-to-end project workflows: from data to solution delivery.
- Work on a comprehensive data science project with real datasets.
- Document your analysis, code, visualizations, and conclusions.
- Build a professional portfolio to showcase on LinkedIn or GitHub.
- Get interview prep, resume support, and job guidance for data roles.
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Why Choose Us
Beginner-Friendly Curriculum
No coding background? No problem. We start with the basics and gradually build up to real-world Python applications used in Data Science, ensuring you’re confident by the end of the course.
Practical, Hands-On Projects
Every topic is reinforced through real coding exercises and mini-projects, and you’ll build a complete end-to-end project using real datasets that you can include in your job portfolio.
Master the Right Industry Tools
Learn the most demanded Python libraries like Pandas, NumPy, Matplotlib, and Seaborn, along with Jupyter Notebook workflows used by data professionals in real business environments.
Trainers with Real-World Experience
Our mentors are experienced data analysts and engineers who bring case studies, job-focused techniques, and insider industry tips straight into the classroom.
Flexible Learning Modes
Whether you prefer learning from home or in-person, we offer both live online classes and offline batches at our Laxmi Nagar center with weekday and weekend options.
Certification Plus GitHub Portfolio
You’ll receive a DSTI certification and build a project portfolio on GitHub that showcases your Python skills and helps you stand out during job applications.
Placement Support & Career Coaching
Get help with resume writing, LinkedIn optimization, mock interviews, and access to our placement pipeline, including job referrals and recruiter connections.
Lifetime Access & Doubt Clearing
You’ll have lifetime access to recorded sessions, updated materials, and a dedicated doubt support system so you can revisit concepts whenever needed.
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Our Process
Free Demo Class & Personal Consultation
We start with a no-obligation demo session so students and parents can experience our teaching style firsthand. During the consultation, we learn about the student’s current skill level, learning goals, and school requirements to recommend the right batch and plan.
Quick & Smooth Enrollment
After the demo, students can easily enroll in a batch of their choice. We guide them through setting up the Python environment (IDE installation, basic configurations), and provide access to all required course material, class links, and schedules.
Live, Interactive Coding Sessions (Online/Offline)
Our classes are highly engaging and interactive. Students don’t just watch—they code along with the trainer, ask questions in real time, and participate in discussions. Classes are held both online (via Zoom/Google Meet) and offline at our Delhi center.
Concepts Reinforced Through Practice
Each concept is taught through live examples, followed by guided exercises. Students then get additional coding tasks and worksheets to practice at home, ensuring they internalize what they learn.
Weekly Assignments That Build Confidence
Every topic ends with structured assignments designed to challenge the student while keeping it fun. These assignments help reinforce learning and build the student’s ability to think logically and solve real problems.
Doubt-Clearing & Revision Sessions
We reserve dedicated time every week for open doubt-solving. Whether a student is stuck on an assignment, didn’t understand something in class, or wants extra practice—we’ve got their back.
Monthly Progress Reports for Parents
We keep parents in the loop with detailed monthly progress reports. These include attendance, assignment completion, test scores, and trainer feedback—so parents can track improvement and stay engaged in their child’s learning journey.
Pre-Board & Final Exam Preparation Support
As exams approach, we provide focused revision sessions, sample paper practice, and personalized tips to help students excel in their school assessments and board exams. Our aim is to boost both skills and scores.
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Perks
Perks Python Training Institute Placement support
- Our advisors help you select the right track based on your goals.
- See real data analysis in action with one of our expert instructors.
- Dive into Excel, SQL, Python, and BI tools through guided modules.
- Apply every concept to datasets that simulate actual business problems.
- Dedicated Academic and Admin Support for a smooth learning experience
- Placement Manager Assistance for job search and application guidance
- Real-world Projects and Case Studies to enhance practical learning
- Hackathons and Competitions to build portfolio and gain recognition
- Master Classes by Industry Experts for insights into AI, ML, and Python
- Access DSTI’s network of hiring partners and get help landing interviews.
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Frequently Asked Questions(FAQ)
Anyone with a basic understanding of computers and logical thinking can join. This course is ideal for students, professionals, career switchers, and freshers wanting to break into data science.
Python is simple, flexible, and supported by powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. Its popularity among data scientists and ease of use make it the top choice for data analysis and ML tasks.
You’ll work on real-time projects like sales data analysis, customer segmentation, COVID-19 data tracking, and predictive modelling. These projects will strengthen your practical understanding and portfolio.
Yes! We provide both classroom and online options. Even if you’re outside Laxmi Nagar, you can attend live sessions, access learning material, and interact with trainers online.
Absolutely. This course starts from scratch and is suitable for complete beginners.
Yes. We offer both classroom training in Delhi and live online classes with full interactivity.
Yes. We conduct weekly assignments, unit tests, and mock exams to track progress and improve retention.
Data Analyst (Entry-Level)
Junior Data Scientist
Python Developer (Data-Focused)
BI Analyst (Python + Excel/Power BI combo)
Yes. We provide regular feedback and performance reports to parents to keep them updated on their child’s progress.
No worries. We offer class recordings, notes, and backup classes so students never fall behind.