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JOIN THE BEST DATA SCIENCE & ANALYTICS COURSE IN PUNE

Learn the real-world application of data science and build analytical models that enhance business outcomes. This 100% Job Assurance program is ideal for recent graduates and professionals who want to develop a successful data science and analytics career. You will gain practical knowledge about the implications of data science and analytics in real-world businesses and prepare to work as a data science professional in an emerging field of data science and analytics.

We are focus on giving you an integrated learning experience. With our one-of-its kind career support services, we continue to support you as you take a step into your career with a renewed perspective. We have our own unique approach to provide training to the student, candidates get to work on project from day 1 along with training sessions. Every batch will have mentors who will guide student throughout data science course.

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WHY SHOULD YOU CHOOSE ADVANTO SOFTWARE FOR DATA SCIENCE AND ANALYTICS?

  • Learn from industry experts and seasoned data scientists who bring real-world experience to the classroom. Benefit from their practical insights, guidance, and mentorship throughout your learning journey.
  • Our curriculum is meticulously designed to cover all aspects of data science, from data collection and pre-processing to advanced machine learning and data visualization techniques.
  • Gain a well-rounded skill set that equips you for success in various data-related roles.
  • We believe in learning by doing. Our course emphasizes practical, hands-on projects and exercises that allow you to apply your knowledge immediately.
  • Work on real datasets and industry-relevant projects to build a strong portfolio.
  • Stay ahead in a competitive job market. Our course focuses on the most in-demand skills and tools used in the industry, such as Python, R, Power BI, Tableau, and more.
  • We understand that every learner is unique. Our course offers personalized learning paths and one-on-one support to help you reach your goals. Whether you’re a beginner or an experienced data professional, our course adapts to your needs.
  • Our commitment to your success doesn’t end with the course. Access career services, resume workshops, and interview preparation to help you land your dream job in data science.

Advantages

Advanto

Curriculum

4+

Hands-on Projects l 54+

50+

Placement Partners

50+

Placement Partners

Get Trained & Certified for Data Science Jobs in 2800 Companies

– Advanto certified course

Key Features

Full stack Java developer course in Pune

20+ Modules

Best Software Testing Course Pune

Free Aptitude & Soft skill Sessions

Full stack Java developer course in Pune

100% placement calls Guaranteed till you get placed

Full stack Java developer course in Pune

100+ Hours

Full stack Java developer course in Pune

Classroom & Online Training

Full stack Java developer course in Pune

Flexible Timings

Full stack Java developer course in Pune

Corporate Trainer Having 15+ yes exp with MNC

Full stack Java developer course in Pune

Hand on Real Time Projects

Resume Building & Mock Interviews

Data science and analytics Course Fees and Duration

Advanto offers Data science course to students and professionals for very affordable fees and easy payment options. The fee structure is the best in the industry among other Data science institutes in Pune.

The duration of the data science classes is generally for a 100 Hours(weekends). The timings are suited best for students and working professionals.

Walk-in to our office for fees details, course duration and other details of the Data science course in Pune.

Eligibility

Any Graduate (BE/B. Tech, M.sc, MCA, M. E/ M. Tech, B.CS, BCA), candidates appeared for final year can also apply.

Course Content

Introduction

Python Programming

Machine Learning

Statistics for Data Science

Basics of Cloud

Machine Learning on Cloud

Deploying ML models on Cloud

Data visualisation with Tableau and Power BI

Project – Mortgage Analysis

Data analytics and ML Track