Data Science Using Python

According to the survey data scientist is the top ranking professional in the market. As a Data Scientist you need to understand the Business problem, gather data for the same and analyze by applying correct algorithms and techniques using current tools.

After running data through the Model you come out with the result of the exercise which includes visualizing the result and communicating results to concerned people in the form of powerpoint or some sort of report.

Need Of Data Science:

• Data Science is basically used to take better decision.
• For example, whether to buy Self Driven Car or not. Current Data analysis shows it will root out more than 2 million deaths caused due to car accidents
• Predictive Analysis
• What Will Happen Next
• Pattern Discovery
• Is there any hidden information in the data. For example, to analyse patterns of sales that is, in which month it is increasing

What Is Data Science?

• Asking the right Questions and Exploring the data
• Basically, you need to know what problem you are solving that is asking the right question. After asking questions you will have data for that as input and you will perform certain action on it
• Modeling the data using various algorithms
• Suppose if you need to perform machine learning you have to decide which Model to use and which algorithms to use and then you need to train the model and so on.
• Finally Communicating and Visualizing the results.
• After running the data through the Model you come out with the result of the exercise which include visualizing the result and communicates results to concern people in form of powepoint or some sort of report. All the information that has been gathered

Why Learn Data Science Course At Profound Edutech?

• Data Science Course at profound is designed to train students and professional in the industry's most widely sought after skills, and make them job ready in the field of Data Science.
• We at profound Edutech provide you with an excellent platform to learn and explore the subjects from Industry experts.
• 100 % placement assurance for the trained candidates.
• Trainers with more than 10+ years experience

Content:

• Python Fundamentals
• Python for Data Science
• Data Engineering Fundamentals
• Machine Learning
• Deep Learning
• Evaluation