f7277d4c75ed0eb3b7647d811d6756d3.jpeg

Download Brochure

f7277d4c75ed0eb3b7647d811d6756d3.jpeg

Download Brochure

Data Science course in pune

6–7 Months

5/5
( 3 votes )
 

Data Science course in pune

 

Are you looking for a data scientist course in Pune and leveraging various data science career opportunities? Then, you’ve reached the right place! Fullstack Guru offers the most competent data science course in Pune for data science aspirants. Our data scientist course is industry-oriented, recognized, and rewarded across the IT sector! Data scientist is one of the most popular and demanded career in this current age of data. Data scientists can understand the data analysed by data analysts which is associated with the business and can come up algorithms and programmatic solutions those can improve your business, Due to this important usage it is wildly used in the industry and has lots of high salary job opportunities. These opportunities are only available for candidates having good knowledge of data science tools. As these are latest tools in the industry there are not many skilled resources available in the industry.

 

About our data scientist course

Our data scientist course is designed as per the needs of current market trends and expectations of the recruiters. We strongly believe in the need of implanting the necessary skills in aspiring job seekers. So that they can get started on a most rewarding and fulfilling journey of their careers. We provide project based practical training. Student will work on their own start to end project using and implementing tools and technologies learnt. We also make students to implement various case studies and assignments to ensure that the knowledge acquired is applied to the real world situations.

 

Key Features

  • 500+ hrs. Of learning and practical implementation across 20 weeks.
  • Task based case studies and assignments, for applying technology to real world.
  • Exposure to latest in-demand tools or technologies.
  • Well skilled and experienced trainers.
  • Well-equipped computer labs and classrooms.
  • Timely assessments and mock interviews to confirm your understanding.
  • One on one individual attention by trainers to ensure everybody learns and excels.

 

Why to become data scientist

1. High Demand and Job Growth

  • Data science is one of the fastest-growing fields. Many industries rely on data-driven decision-making, which increases the need for skilled data scientists.
  • Companies across various sectors, such as technology, healthcare, finance, and retail, need data scientists to interpret data and derive valuable insights.

2. Competitive Salary

  • Data scientists often earn high salaries due to the specialized skills required in the role. The blend of technical and analytical abilities, along with business acumen, makes data scientists highly valued.

3. Diverse Industry Opportunities

  • Data science skills are applicable across numerous industries, giving you the flexibility to work in sectors that interest you, such as healthcare, finance, entertainment, e-commerce, etc.
  • From tech startups to large corporations, every organization wants to harness the power of data.

4. Solving Real-World Problems

  • Data scientists work on solving impactful and real-world problems. They help organizations predict outcomes, make data-driven decisions, and improve services.
  • This could mean anything from optimizing a supply chain to creating personalized customer experiences to discovering insights from scientific data.

5. Challenging and Interesting Work

  • The field of data science offers intellectually stimulating work. Data scientists deal with challenging problems, learn new technologies, and apply creativity to find solutions.
  • The work often involves investigating patterns in data, building machine learning models, and using statistical methods to derive insights.

6. Interdisciplinary Nature

  • Data science is a mix of statistics, computer science, domain expertise, and communication. If you enjoy working at the intersection of multiple disciplines, it offers a great platform.
  • You’ll have the opportunity to work with advanced tools, statistical methods, and complex data systems while developing solutions that impact real-world processes.

7. Continuous Learning

  • Data science is a rapidly evolving field, with new tools, techniques, and frameworks emerging constantly. This makes it exciting for those who love learning and staying up-to-date with advancements in technology.
  • You can explore different areas within data science, such as machine learning, natural language processing, computer vision, or big data.

8. Career Growth and Flexibility

  • There are multiple career paths for data scientists. You can move into specialized roles like machine learning engineer, data engineer, or data analyst.
  • Many experienced data scientists also transition to leadership roles such as Chief Data Officer or other executive positions where they shape data strategy for organizations.

9. Making Data-Driven Decisions

  • Data scientists help companies make decisions based on data rather than intuition alone. They provide actionable insights that can save costs, increase revenues, and improve efficiencies.

10. Contributing to Innovation

  • Data science plays a crucial role in innovations like self-driving cars, recommendation systems, healthcare AI, and more. You can contribute to projects that have the potential to change industries and society.

11. Remote Work Opportunities

  • Due to the nature of work being heavily reliant on technology, many data science roles offer the flexibility of remote work, which is an appealing benefit to many professionals.

12. Impactful Work

  • Data scientists often have a direct impact on business outcomes and decision-making processes. This means the work you do can significantly influence a company's direction and success.

 

Why to choose Fullstack Guru for data scientist course in pune?

 

Because we are the experts of the technology and we are constantly up skilling ourselves to the new trends and we make sure that our students also learn the most latest and relevant skills. We are transforming the way technology is taught; we help students to learn how to apply technology to the real world. We believe in the necessity of required skills in the aspiring job seekers, and we help them to adopt those with our unique and innovative style1 of teaching, we create skilled workforce.

 

Things you will learn under data analyst course

 

Data Science Basics Maths & Statistics for data science SQL & Big data basics Python & R programming language Python libraries (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn) Machine Learning Deep Learning Neural Networks  Natural Language processing Softskills English Communication

 

Faculty profile

 

The data scientist course in Pune is taught by experienced faculty who have a wealth of knowledge in the field. They are able to provide students with the skills and training needed to become a successful Data scientist. All of our trainers are well experienced and experts in their niche. They provide in-depth, practical knowledge of the subject and help students to implement the concepts learned in the hands-on session. Implementation of the concepts is our primary focus as that will help students to demonstrate their skills in the form of mini-projects.

All the sessions are divided in to 3 parts, in the first part trainers explain and demonstrate the concept, in the second part students will implement the same concept as a case study and then in the third part there will be question-answers and doubt clearing if any. Students are free to ask any question at any time where ever it is necessary.

  • More than 5+ years of experience.
  • Have an experience of working on real time projects.
  • Up to date knowledge as per the industry requirements.
  • Have worked in the corporates on real time projects.
  • Understanding, caring and helpful nature. 

 

Fullstack Guru

Pratik Kaurav

Student

I am grateful to have found Fullstack Guru because the learning I received here has a great value. Before joining, I was worried that my lack of programming skills would be a hindrance in getting a job but Fullstack Guru offers a comprehensive package that covers all the required skill sets for placements. The trainers are knowledgeable and provide full guidance for interviews. I am confident that with the skills I acquired from this institute, I will be able to get the best placement possible. I can say that Fullstack Guru is the best Java institute in Pune.

Fullstack Guru

Archana Singh

Student

I have completed my Java full stack developer course from Fullstack Guru in Pune. Fullstack Guru is an excellent institute to start your IT career as they provide comprehensive training from the ground up as well as full placement support. They help you to implement the concepts practically and strive hard to clear your doubts if any. I am very grateful to Fullstack Guru.

Frequently Asked Questions

What are the basics required for data science course?

Programming for Data Science: Typically focused on Python or R for data analysis, visualization, and manipulation. Statistics for Data Science: Basic statistical concepts, probability theory, and statistical inference. Mathematical Foundations: Linear algebra, calculus, and optimization techniques used in data science.

Is data science course useful?

AData science course can help open the doors to multiple career opportunities. With different industries making use of data scientists, you will have a plethora of job roles to choose from.

What are the main components of data science?

In conclusion, the five key components of data science are Data Collection, Data Cleaning, Data Exploration and Visualization, Data Modeling, and Model Evaluation and Deployment.

What is the concept of data science?

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.