Build your Career in Data Science

Can be taken anytime (3 hours)
Course Type
Professional Training Course
Yes (Details)
Course Fee

Course Overview

Data science is an interdisciplinary approach to deriving meaningful insights from today's businesses' massive and ever-increasing amounts of data. Preparing data for analysis and processing, doing sophisticated data analysis, and presenting the results to expose trends and allow stakeholders to make educated decisions are all part of data science. Data needs to be collected from multiple sources and analyzed. Data analysis and visualization have to be performed on the data to get valuable insights into the data. Machine learning tools are deployed to build predictive models that transform the raw data into actionable information. Knowledge Representation and Artificial Intelligence algorithms are creating intelligent machines capable of solving complex problems.

Who should take this course

Everyone who wishes to build their career in Data Science



Course content

• Explain how these results can be used to solve business problems.

• Use mathematics, statistics, and the scientific method to solve problems

• Evaluate and prepare data using a variety of tools and techniques, including SQL, data mining, and data integration approaches.

• Use predictive analytics, such as machine learning and deep learning models, to extract insights from data.

• Create data-processing and calculation-automation apps.

About Course Provider

Uplatz is an innovative digital marketplace for smart learning. It is a tutor-based 1:1 learning platform. We have a strong network of qualified and experienced tutors providing hot courses (such as Big Data, Hadoop, SAP FICO, Informatica, Python, and more..) in a virtual classroom set-up.

And guess what? No one in the market can beat us in course prices! Each of our courses is listed at 80% discounted rate from average market price of the same course.

What more, we have a strong technical team with a mentor from IIT Kanpur! Digital, digital, digital...

Happy Learning at uplatz!

How to enroll?

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