Become a Skilled Data Science Expert

In Just 6 Months!

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Curriculum Breakdown

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Professional Support

Real-World Experience

Data Science Expert

Data Science Learning Pathway

Mastering Data Science: Comprehensive Course

Your Gateway to Multiple Roles

Data Scientist

Data Analyst

Business Analyst

Data Engineer

Data Architect

Machine Learning Engineer

Business Intelligence Analyst

AI/ML Research Scientist

NLP Engineer

Skill and Tools You will Learn

Data visualization

Create clear and impactful charts, graphs, and dashboards to interpret and present complex data patterns and insights visually.

Python

Use the versatile Python programming language for coding, automation, statistical analysis, and integrating all major data science tools.

SQL

Query, filter, and manage structured data in relational databases, extracting relevant data sets for analysis and modeling.

Pandas

Manipulate, clean, and analyze data efficiently with the primary Python library for handling tabular data and DataFrames.

NumPy

Perform fast numerical computations, manage multidimensional arrays, and support scientific and statistical operations.

Scikit-learn

Apply essential machine learning algorithms for classification, regression, clustering, and model evaluation using this popular ML toolkit.

Deep Learning

Build and train advanced neural network models for tasks like image recognition, natural language processing, and artificial intelligence.

Power Query & DAX

Perform advanced data extraction, transformation, and calculations in Microsoft Power BI and Excel, streamlining raw data processing.

Model Evaluation & Optimization

Assess predictive models using metrics and validation techniques, and fine-tune performance for accurate, reliable results

OpenCV

Work with computer vision tasks, processing images and video for analysis, detection, and automation.

FastAPI

Develop fast, scalable web APIs for serving machine learning models and integrating data science workflows into applications.

R Language

Utilize R, a statistical programming language, for advanced analytics, data visualization, and specialized statistical modeling.

Matplotlib & Seaborn

Visualize and explore data through flexible plotting libraries, creating everything from basic graphs to advanced statistical plots.

Power BI & Tableau

Create interactive dashboards and business intelligence reports, empowering data-driven decisions in modern enterprises.

Data Processing & Feature Engineering

Prepare raw data for analysis by cleaning, transforming, and developing features that improve model performance and insights.

Why to Choose PIIT

Industry-Aligned Curriculum

PIIT’s Full Stack Python program follows a carefully designed curriculum that covers the latest and most in-demand technologies used by employers.

 

Experienced Faculty

Learn from expert instructors who bring both industry experience and teaching excellence to guide you through every concept with real-world examples.

Hands-On Projects

The program emphasizes practical learning through real-time projects that enable you to apply concepts into building complete web applications.

Comprehensive Skill Set

PIIT trains you in both frontend and backend development, including Python frameworks like Django and Flask, as well as front-end technologies such as HTML, CSS, and JavaScript.

Flexible Learning Options

With options for online and offline classes, as well as flexible batch timings, PIIT accommodates working professionals and students alike.

Placement Assistance
  1. Dedicated placement support helps you prepare for interviews, build a strong resume, and connects you to top recruiters in the tech industry.
Certification

Upon successful completion, you receive a recognized certification from PIIT that adds credibility and boosts your career prospects.

Experienced Mentors & One-on-One Support

Personalized mentoring ensures doubts are cleared promptly and learning obstacles are overcome effectively.

Focus on Industry-Ready Skills

You gain practical knowledge not just in coding but also in best practices like version control, debugging, deployment, and security.

Exposure to Advanced Concepts

Training covers advanced Python topics, RESTful APIs, database management, and cloud deployment for comprehensive skill development.

 

Small Batch Sizes

Limited batch sizes ensure personalized attention and a collaborative learning environment.

Real-Time Industry Projects

Work on projects that replicate actual business scenarios, enhancing your portfolio and job readiness.

Strong Alumni Network

PIIT’s growing community of successful Certified offers networking and learning opportunities beyond the classroom.

Affordable Fees with Flexible Payment Plans

The program is competitively priced with EMI options to make it accessible without compromising on quality.

Continuous Learning & Support

Students receive ongoing updates, resources, and support even after course completion to help with skill upgrades and career growth.

Batch Schedule

DateCourse Training TypeBatch
Mon, 18th August 2025Data ScienceClassroom 6 PM-8 PM
Mon 18th August 2025Data ScienceOnline- Live Training6 PM-8 PM
Sat, 22nd August 2025Data ScienceOnline- Live Training11 AM to 3 PM
Sat, 22nd August 2025Data ScienceOnline- Live Training11 AM to 3 PM

Frequently Asked Question

What topics are covered in the Data Science course?

The curriculum includes Python programming, machine learning, data analysis, data visualization, SQL, statistics, big data tools, Tableau, Power BI, and hands-on real-world projects.

Do I need any prior coding experience to enroll?

No prior coding knowledge is required. Most programs start from fundamentals, making them suitable for beginners as well as working professionals.

What is the duration of the Data Science program?

Data Science courses usually last between 3 to 8 months, depending on the institute, learning mode, and whether you choose weekday or weekend batches.

Is there a certification upon completion?

Yes, a globally recognized or industry-accredited Data Science certificate is awarded after successful completion of the course and assessments.

Does the program offer placement assistance or job support?

Most top institutes offer 100% placement support, including interview preparation, resume building, and direct referrals to hiring companies.

Who should enroll in a Data Science program?

The course is ideal for final-year students, graduates from any discipline, career switchers, and professionals in non-technical roles seeking high-growth IT careers.

Are there options for online or offline learning?

Most institutes provide flexible learning modalities—online live classes, classroom sessions, or blended formats—to suit diverse student needs.

What kind of projects or hands-on experience will I get?

Students work on multiple capstone, live, or client-based projects to ensure practical, job-ready skills aligned with industry demands.

What career opportunities are available after the course?

Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and more with companies across IT, finance, healthcare, and startups.

How do I enroll and what are the course fees?

Enrollment is straightforward—fill out an online form or contact the institute.

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