Data Science Training in Pune

Data Science Training in Pune is very helpful for all the working professionals who can learn without any past coding knowledge. Due to the heavy increase in the need of intelligent and precise decision making, Data Science Courses in Pune has become more popular. All the important technologies are taken by this best Data Science Training Institute in Pune.

The entire team of Upscale pays more attention to all the candidates and students, hence our Data Science classes in Pune is acquired by many people all over the city. Many people are already aware of Data Science, but still to be more enhanced on this topic, they opt for Data Science Certification Training in Pune.

What is Data Science?

Data Science also known as data-driven science helps you to create models, methodologies, and algorithms that provide practical utility. Data science is also the practice of asking questions and finding solutions to unknown problems which in turn motivate business values. This process involves working with a set of existing data or defining the data all by you.

Data Science is the application of Machine Learning Algorithms and Statistics over large volumes of Structured and Unstructured Data to derive patterns and rules which could be further used to predict outcomes for a given set of inputs (read data).

Course Outline for Data Science Training In Pune

• Explain different data types, basic data handling in Python and use of various Python packages for the same
• Learn to Write own functions
• Describe basic principles for data investigation – search for the needle in the haystack
• Determine the proper analytic methods for Descriptive and Predictive analysis
• Describe the concept of Regression and Classification models
• Describe the social media effect and Social Intelligence
• Outline use cases for Predictive Analytics
• Learn how to handle large dimensions of data by using Principal Component Analysis.
• Learn the concepts and the practical use of tree based methods such as Random Forest.
• Learn Market Segmentation and Recommender Systems.
• Describe the advanced steps to validate, optimize and maintain the models.
• Learn Data visualization/presentation tools and techniques in Python

Who this course is for:

• Candidates with background in Statistics, Computer Applications, BIDW, Big Data, Engineering, Mathematics and Economics.
• Even with Business Management background can take up this course.
• Data Analysts and Business analysts
• Professionals seeking a switch to Data Science domain from any background.

FAQ’s

Is it a Class room training or an online training?

We do provide both Classroom and online Data Science training. For classroom training you can visit the institute on the address provided. Online training will be Instructor-led online training and you can record your sessions. You can also schedule your sessions based on your availability.

What Is Instructor-Led Online Training?

Instructor-led online training is an interactive mode of training where you and the trainer will log in at the same time and live sessions will be done virtually. These sessions will provide scope for active interaction between you and the trainer.

What If I Miss A Live Session?

Not a problem even if you miss a live session for some reason. Every session will be recorded and access will be given to all the videos. You can watch the recorded sessions at your own pace and convenience.

Is this a Live Training Or Recorded Sessions?

It is a live instructor-led interactive session which is done at a specific time where you and the trainer will log in at the same time. The same session will be also recorded and access will be provided to go through, recap or watch any missed session.

Whom Should I Contact If I Want More Information About The Data Science Training?

You can reach out to us by visiting our website, our customer service representatives will assist you with all your queries. You can also send us an email at contact@upscalecloud.co.in with your query and our team will clarify your queries or call us on 9561400765.

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