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5 Best Python Pandas Courses & Certification 【2020】

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20+ Experts have compiled this list of Best Pandas Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn about Pandas and these courses are suitable for beginners, intermediate learners as well as experts.

5 Best Python Pandas Courses, Certification, Tutorial, and Training Online 【2020】 [UPDATED]

1. Pandas Foundations (DataCamp)

It is a fact that data has become one of the prime source of information. This course is designed to help you leverage the power of the package in Python named pandas that will play a crucial role in inspecting data based on quantitative parameters and more. After developing a strong fundamental you can move on examples based on real world. By the end of the classes you will be efficient in analysing, visualing and communicating the information extracted from the data. If you have Python on your mind, you may want to check out Python Courses.

Course highlights:

– Create DataFrames from scratch and perform explanatory analysis of data.

– Learn to import and work of various scales of datasets ranging over different areas.

– Inspect real-world challenges in-depth and analyse the apt technique to reach a solution.

– Explore time series with plenty of examples.

– Interactive lessons make learning a fun experience.

– The first module can be accessed for free.

Duration: 4 hours

Rating: 4.4 out of 5

You can Sign up Here

2. Python Pandas Courses (Coursera)

With over 20 programs and certificates, Coursera brings you numerous options to build your skills in the field of Python pandas, its application in data science, machine learning and more. Categorized on the basis of difficulty level, there is something for everybody. Some of the bestsellers are data science and interpretation in Python, ML in finance, and inference from statistical models. If you want to dive deep into data science, then don’t forget checking out some of the best data science courses.

Course highlights:

– Beginner level lessons require no prior experience in the pandas package.

– Choose from individual programs, certifications, and specializations.

– The introductory classes talk about how to make the most of the journey and perform necessary setup.

– Explore fundamental programming techniques and understand how packages make developing solutions much easier.

– Manipulate and cleanse data use functions such as group by and merge.

– Learn about the abstraction of DataFrame and series.

– Audit the classes for free and earn the verified certificate by completing graded assessments that are available for an additional fee.

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here 

3. Pandas Courses (Udemy)

E-learning platform Udemy offers you a number of online tutorials and certifications on the industry level package pandas from some of the top instructors of the world. Get introduced to a multitude of methods, attributes available across numerous objects. Apart from this, you will also work on various dimensions of datasets and overcome the flaws in them. Take your pick from options such as pandas in Python, connect and import databases from any source, fundamental techniques and managing financial information. If you are confused about which course will suit you best then take the short quiz on the platform and narrow down the choices.

Course highlights:

– Go over the installation process and a brief overview of what is in store.

– Prepare and cleanse the data before performing operations on it.

– Learn about series, DataFrames and implement them in the hands-on exercises.

– Represent your data visually and communicate the findings with both non-technical and technical teams.

– Lectures + Articles + Downloadable resources + Full lifetime access

– Enroll in the classes at a nominal price.

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

4. Data Analysis with Pandas (Codecademy)

If you have prior experience in working with Python 2 and want to capitalize on that skill then this program is worth checking out. Learn how to ingest, cleanse and structure data and finally use it for analysis. You will also have the opportunity to implement the topics covered in the theory classes by using other modules in Python such as Scipy and Matplotlib. After the completion of the course you will be confident in creating DataFrames, merging data and working on more advanced topics.

Course highlights:

– The program is broken down into 3 comprehensive modules accompanied by regular quizzes.

– Learn with interactive lessons.

– Mini projects are available that allows you to integrate the topics covered in the lessons

– Learn at your own pace with a flexible schedule.

– Guidance is provided to configure the tools.

Duration: 6 hours

Rating: 4.5 out of 5

You can Sign up Here 

5. Python Pandas Free Course & Tutorials (LinkedIn Learning – Lynda)

Gain the skills in the field of data science and analysis by taking your pick from over 400 tutorials and training. If you are a beginner in this field then you can choose to take one of the essential training. For experienced learners, there are options such as Python scientific stack, recommendation system using ML & AI, libraries and data import. The lectures are structured to be short so that you can cover the topics in a time concise manner.

Course highlights:

– Beginner level courses require little or no prerequisite for enrolment.

– The introductory lectures provide an overview of the curriculum and a detailed explanation of how to make the most of the exercises.

– Exercises and videos are available online as well as offline view.

– Plenty of practical assignments to check your grasp on the topics covered.

– Divided into sections along with relevant chapter quizzes.

– Access the content for free for the first month after signing up.

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here 

So these were the 5 Best Pandas Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!