Program Overview

Data Science with Python course will acquaint the participants with the nuts and bolts of the python programming condition and dataset including how to download and introduce python, expected basic python programming methods, and how to discover help with python programming questions. The course will likewise present information control and cleaning methods utilizing the famous python pandas information science library and present the reflection of the Data Frame as the focal information structure for information examination.

This course is part of multiple programs

This course can be applied to multiple Specializations or Professional programs. Completing this course will count towards your learning in any of the following programs

• Computer Vision Course
• Natural Language Processing Course
• Deep Learning A-Z Course
• Artificial Intelligence A-Z Course

Pre-skills

Basic of Mathematics and programming and no other prerequisite required to learn this course, we are gonna cover from basic to advanced.

Course Objective

1. To make the learner identify potential zones of uses of Data Science.
2. Providing experience in working with real-time applications of Data Science.
3. Make a learner easily land up to a job role of either Data Scientist, Data Analyst, Business Analyst in IT Industry.

Course covers

Data Science A to Z is a bundle of multiple courses that will help you to learn step by step. please check the detail in the given Courses.

Course Features

• More than 80% hands-on session
• Project-oriented learning
• Cloud-based LMS
• Experienced Trainer
• Masterclass for Expert
• Standard reading materials
• Study resources
• Graded Quizzes
• Real-time case study-based projects
• Discussion Forum

Capstone Projects

1. Exploratory Data Analysis of USA Bachelors Dataset
2. Exploratory Data Analysis on Hyderabad Air Traffic Dataset from data.gov.in
3. Hypothesis testing on sales data, sales pattern extraction
4. Exploratory Data Analysis of IPL Dataset
5. Churn Prediction for an Enterprise
6. Credit Card Fraud Detection
7. Hypothesis testing on female literacy and fertility dataset, working with correlation analysis, visualizing the data.
8. Fetching data related to the number of Pinterest accounts maintained by IS state Department and embassies and missions and performing Exploratory Data Analysis
9. Social Media Data Analysis
10. Predictive Analysis on Credit Default Dataset

Software & Tools details

Python ( Click Here for Download )

Anaconda for Python 3.x ( Click Here for Download ) and other miscellaneous software and tools

Course Outcome

Before the finish of this course you will:

1. Have an astonishing arrangement of illustration python information investigation ventures!
2. Have a comprehension of Machine Learning and SciKit Learn!
3. The learner will be able to land up in a job role related to Data Analyst and Data Science.
4. The Learner can also easily switch from existing job role with around of 20% hike from the current salary switch to any of the field where Data Science is being used.
5. The learner will become capable of handling any project relevant to Data Science in a proper way.

Suggested Job Profile after taking this course

After completion of this course, a candidate can directly land upon the given profile, these are the world’s best job profiles.

1. Data Scientist
2. Data Analyst
3. Business Analyst
4. Data Science Associate
5. Chief Data Scientist
6. BI Professional
7. R & D Professional and others

Machine Requirement

1. Windows Machine (Windows 7 or Above) /Linux Machine
2. Only 64 Bit
3. 4 GB RAM (8 GB Recommended)

Course Code- TTV/IND/00034