Intermediate Python faq

star-rating
4.5
learnersLearners: 5
instructor Instructor: / instructor-icon
duration Duration: 4.00 duration-icon

This course provides an intermediate level of instruction in Python programming. Students will learn to create visualizations using Matplotlib and manipulate DataFrames with pandas. By the end of the course, students will have a better understanding of Python and its applications in data science.

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Course Feature

costCost:

Free Trial

providerProvider:

Datacamp

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

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

Updated in [March 20th, 2023]

Intermediate Python is a four-hour course designed to help learners build on their existing Python skills and explore new Python applications and functions. Learners will gain an understanding of dictionaries and pandas DataFrames, and how to create and manipulate datasets. They will also learn about logic, control flow, filtering and loops, and how to use hacker statistics to calculate their chances of winning a bet. By the end of the course, learners will be prepared to apply their new skills in their job, new career, or personal project.

[Applications]
Upon completion of the Intermediate Python course, learners will be able to apply their new skills to their job, new career, or personal project. They will be able to create visualizations using Matplotlib, manipulate DataFrames with pandas, and use dictionaries and pandas DataFrames to access and manipulate datasets. Learners will also be able to use logic, control flow, filtering, and loops to control decision-making in Python programs and perform more operations with their data. Finally, learners will be able to use hacker statistics to calculate their chances of winning a bet.

[Career Paths]
1. Data Scientist: Data Scientists use Python to analyze and interpret data, build predictive models, and create visualizations. They are responsible for understanding the data, developing algorithms, and creating insights that can be used to make decisions. As the demand for data-driven decision-making increases, the demand for Data Scientists is expected to grow.

2. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They are responsible for designing, building, and testing machine learning algorithms, as well as deploying them into production. With the increasing demand for automation and AI-driven solutions, the demand for Machine Learning Engineers is expected to grow.

3. Data Analyst: Data Analysts use Python to analyze data and create insights. They are responsible for understanding the data, developing algorithms, and creating visualizations that can be used to make decisions. As the demand for data-driven decision-making increases, the demand for Data Analysts is expected to grow.

4. Software Developer: Software Developers use Python to develop software applications. They are responsible for designing, building, and testing software applications, as well as deploying them into production. With the increasing demand for automation and AI-driven solutions, the demand for Software Developers is expected to grow.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree program provides a comprehensive overview of computer science fundamentals, including programming, data structures, algorithms, and software engineering. It also covers topics such as artificial intelligence, machine learning, and computer graphics. This degree is ideal for those looking to pursue a career in software development, data science, or computer engineering.

2. Master of Science in Data Science: This degree program focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. It also provides an in-depth understanding of the principles and techniques of data science, including data visualization, data wrangling, and data analysis. This degree is ideal for those looking to pursue a career in data science, analytics, or research.

3. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems and their applications. It covers topics such as natural language processing, computer vision, and robotics. It also provides an in-depth understanding of the principles and techniques of artificial intelligence, including machine learning, deep learning, and reinforcement learning. This degree is ideal for those looking to pursue a career in artificial intelligence, machine learning, or robotics.

4. Doctor of Philosophy in Data Science: This degree program focuses on the development of advanced data science techniques and their applications. It covers topics such as data mining, machine learning, and predictive analytics. It also provides an in-depth understanding of the principles and techniques of data science, including data visualization, data wrangling, and data analysis. This degree is ideal for those looking to pursue a career in research, data science, or analytics.

Course Provider

Provider Datacamp's Stats at AZClass

Rating Grade: B This is a trending provider perfect for gaining traction and maybe a good option for users who are looking for a reliable source of learning content.

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faq FAQ for Python Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free trial certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: 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.

Q3: How many people have enrolled in this course?

So far, a total of 5 people have participated in this course. The duration of this course is 4.00 hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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(Please note that the following steps should be performed on Datacamp's official site.)
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Once in the cart, select the course you want and click "Enroll."
Datacamp 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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