Python for Data Science - Great Learning faq

learnersLearners: 24,700
instructor Instructor: / instructor-icon
duration Duration: duration-icon

This course provides an introduction to Python for data science, covering the fundamentals of the language and its applications. With this comprehensive learning path, learners can gain the skills needed to use Python for data analysis and visualization.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Python for Data Science, is designed to help learners gain an understanding of the Python programming language. It covers the fundamentals of Python programming, including data types, variables, functions, and classes. Learners will also learn how to use Python for data analysis, visualization, and machine learning. By the end of the course, learners will have a strong understanding of the Python language and be able to apply it to data science projects.

[Applications]
The application of this course can be seen in various fields such as data science, machine learning, artificial intelligence, and web development. It can be used to create data visualizations, analyze data, and build predictive models. It can also be used to develop web applications and automate tasks. Additionally, it can be used to develop applications for mobile devices and the Internet of Things (IoT). With the knowledge gained from this course, students can create powerful applications that can be used to solve real-world problems.

[Career Paths]
1. Data Scientist: Data Scientists use Python to analyze large datasets and uncover patterns and trends. They use Python to develop predictive models and algorithms to help businesses make better decisions. Data Scientists are in high demand and the demand is expected to continue to grow as businesses become increasingly data-driven.

2. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They use Python to build and optimize algorithms that can learn from data and make predictions. Machine Learning Engineers are in high demand and the demand is expected to continue to grow as businesses become increasingly reliant on machine learning.

3. Data Engineer: Data Engineers use Python to design, build, and maintain data pipelines. They use Python to extract, transform, and load data from various sources into data warehouses and data lakes. Data Engineers are in high demand and the demand is expected to continue to grow as businesses become increasingly reliant on data.

4. Software Developer: Software Developers use Python to develop web applications, mobile applications, and desktop applications. They use Python to build user interfaces, create APIs, and integrate with third-party services. Software Developers are in high demand and the demand is expected to continue to grow as businesses become increasingly reliant on software.

[Education Paths]
1. Bachelor of Science in Data Science: This degree path provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and artificial intelligence. Students will learn how to use Python to develop data-driven solutions and gain the skills to interpret and visualize data. Additionally, this degree path will provide students with the knowledge to develop predictive models and algorithms to solve complex problems.

2. Master of Science in Artificial Intelligence: This degree path focuses on the development of artificial intelligence systems and algorithms. Students will learn how to use Python to create intelligent systems and develop machine learning models. Additionally, this degree path will provide students with the skills to design and implement AI-based solutions for real-world problems.

3. Master of Science in Data Science: This degree path provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and artificial intelligence. Students will learn how to use Python to develop data-driven solutions and gain the skills to interpret and visualize data. Additionally, this degree path will provide students with the knowledge to develop predictive models and algorithms to solve complex problems.

4. Doctor of Philosophy in Data Science: This degree path provides students with an in-depth understanding of data science principles and techniques, including data analysis, machine learning, and artificial intelligence. Students will learn how to use Python to develop data-driven solutions and gain the skills to interpret and visualize data. Additionally, this degree path will provide students with the knowledge to develop predictive models and algorithms to solve complex problems. Additionally, this degree path will provide students with the opportunity to conduct research in the field of data science and develop new methods and techniques for data analysis.

Course Syllabus

Installing Python, Pycharm and Anaconda

Data Types, Variables and Operators in Python

Python Strings​​​​​​​

Data Structures in Python​​​​​​​

Flow Control Statements​​​​​​​

User Defined Functions in Python​​​​​​​

Object Oriented Programming in Python

Numpy Library in Python​​​​​​​

Pandas Library in Python

Pros & Cons

Pros Cons
  • pros

    Learn many new things

  • pros

    Smooth and easy to understand

  • pros

    Easy to relate with

  • pros

    Exceptional teacher/instructor

  • pros

    Detailed explanation

  • cons

    None mentioned

Course Provider

Provider Udemy's Stats at AZClass

Python for Data Science - Great Learning introduces Python for Data Science and covers the fundamentals of the language and its applications. With this comprehensive learning path, learners gain the skills needed for data analysis and visualization using Python. This course introduces the Python language and its applications to data science. It covers topics such as data manipulation, data visualization, machine learning, and automation. It also provides an overview of various tools and techniques used in data science. The course is designed to help learners understand the fundamentals of Python programming and its application to data science.

Rating Grade: C This is a emerging provider which is still gaining popularity and may be best suited for users who are looking for something unique or specialized.

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faq FAQ for Python Courses

Q1: What is Python for Data Science - Great Learning?

Python for Data Science - Great Learning is an online course designed to help you learn the fundamentals of Python programming and its application in data science. This course covers topics such as data manipulation, analytics, machine learning, AI, automation, and more. You will gain a comprehensive understanding of the Python language and its use in data science.

Q2: What skills will I learn in Python for Data Science - Great Learning?

In this course, you will learn the fundamentals of Python programming, including data manipulation, analytics, machine learning, AI, automation, and more. You will also gain an understanding of the various libraries and frameworks used in data science, such as NumPy, Pandas, Scikit-Learn, and TensorFlow. Additionally, you will learn how to apply these skills to real-world data science problems.

Q3: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q4: Can I take this course for free?

Yes, this is a free course offered by Udemy, please click the "go to class" button to access more details.

Q5: How many people have enrolled in this course?

So far, a total of 24700 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Python courses and certifications, our extensive collection at azclass.net will help you.

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