Data Science Course

 data scientist is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs, and builds AI tools that automate certain processes within the company.

Batch details of live online classes

Starting Date Timings Ending Date

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Topics Covered

The following list reflects the relevant sub-topics that I will be covering:

·         Statistics.

·         Linear Algebra.

·         Programming.

·         Machine Learning.

·         Data Mining.

·         Data Visualization.


·         Educational.

·         Technical. Mathematical. Programming. SQL. Data Science. Machine Learning. Working with Unstructured Data.

Non-technical. Business Acumen. Management Principles. Communication. Data Intuition

What are the objectives?

Data Science as a multi-disciplinary subject encompasses the use of mathematics, statistics, and computer science to study and evaluate data. The key objective of Data Science is to extract valuable information for use in strategic decision making, product development, trend analysis, and forecasting

Why to Learn this course?

Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. ... Then, they apply their knowledge to uncover solutions hidden in the data to take on business challenges and goals.

Who should go for this training?

After being dubbed “sexiest job of the 21st Century” by Harvard Business Review, data science has stirred the interest of the general public. Many people are intrigued by the job and wonder how they themselves can become data scientists. There are so many tools, courses, and applications for folks to learn data science, but let’s face it: for someone unfamiliar with the field, all these options can seem like a jungle of complex information.

As experts in the space, the DataCamp team decided to synthesize everything we know about becoming a data scientist into 8 steps. We created an infographic meant both for those interested in learning data science for the first time, and existing data scientists looking to hone their skills

Additional Data

Big data analysis caters to a large amount of data set which is also known as data mining, but data science makes use of the machine learning algorithms to design and develop statistical models to generate knowledge from the pile of big data.
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