Become a Skilled Data Analyrics Expert

In Just 6 Months!

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Curriculum Breakdown

Study at Your Own Pace

Invest in Your Future

Invest in Your Future

Professional Support

Real-World Experience

Data Analytics Course

Data Analytics Learning Pathway

Mastering Data Analytics: Comprehensive Course

Your Gateway to Multiple Roles

Data Analyst

Business Analyst

Business Intelligence (BI) Analyst/Developer

Data Scientist (with further skill development)

Data Engineer

Machine Learning Engineer

Analytics Consultant

Healthcare Data Analyst

Retail/E-commerce Insights Analyst

Skill and Tools You will Learn

Big Data technology

Learn to handle and analyze massive data sets using modern big data platforms like Hadoop and Spark to uncover trends at scale.

Business Intelligence tool

Gain expertise in BI tools such as Power BI or Tableau to build dynamic dashboards and enable strategic decision-making with visual reports.

Cloud Platform and Data Warehousing

Understand how cloud services (AWS, Google Cloud, Azure) and data warehousing solutions streamline data storage, retrieval, and scalable analytics.

Communication and Data Storytelling Skills

Develop the ability to present complex data findings in clear, engaging stories and visuals that drive business insights and action.

Data Cleaning and Preprocessing

Master techniques to clean, organize, and transform raw data, ensuring accuracy and reliability for deeper analysis.

Data manipulation with libraries

Use powerful libraries like Pandas and NumPy in Python to efficiently organize, transform, and explore data sets.

Data Visualization

Create impactful charts, graphs, and dashboards that make analysis results easy to understand and actionable.

Machine Learning Algorithm

Get hands-on with machine learning methods for classification, prediction, and clustering to reveal hidden patterns and automate analysis.

Predictive Modeling

Build models that use historical data to make accurate forecasts and guide strategic planning.

Proficiency Excel

Utilize Microsoft Excel for advanced data analysis, pivot tables, functions, and quick visualizations.

Data Modelling and Database Design

Learn to structure data and design relational databases for efficient storage, integration, and retrieval.

Statistics Analytics and Hypothesis Testing

Apply statistical methods to analyze data distributions, correlation, and test business hypotheses with confidence.

SQL and Database Management

Master SQL to fetch, modify, and manage data in relational databases, a vital skill for every data analyst.

Data Governance and Security

Learn best practices for ensuring data privacy, compliance, and secure handling of sensitive information in analytics projects.

Dashboard Development and Reporting

Gain proficiency in designing interactive dashboards and automated reports to effectively communicate insights to stakeholders.

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 AnalyticsClassroom 6 PM-8 PM
Mon 18th August 2025Data AnalyticsOnline- Live Training6 PM-8 PM
Sat, 22nd August 2025Data AnalyticsOnline- Live Training11 AM to 3 PM
Sat, 22nd August 2025Data AnalyticsOnline- 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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