It’s funny how a programming language named after a reptile is one of the most popular and sought-after computer languages in the world. But it is the truth. Python is called the programming language of the future for a reason. Python programming is fuelling the global job market as most major MNC’s rely on python. It is also the most used programming language in the highest-earning economies too. Even if you are looking for a career abroad in any of the most developed countries in the world, your skill in python will put you miles above the rest of your competition.
Python is used in a variety of fields including Data Science, Scientific and mathematical computing, Web development, Finance and Trading, Computer Graphics, and the list goes on. Our list here features the use of python in Data Analysis. If you’re looking to master Python for kick-starting a career in data analysis, there are plenty of courses available online for you to do. This list features some of the best online courses of python for data analysis. This includes both paid and free courses.
1. Data Analysis with Python by Coursera
This course teaches you all the basics about analyzing data with the help of python. The course starts with the basics of python and then moves on to discussing various types of data. You will learn the fundamentals of preparing data for analysis and also other skills like performing basic statistical analysis and also to create meaningful data visualizations. The course will also help you to predict future trends in data analysis. The course is 100 percent online and you do not need any sort of previous experience. After successful completion, the website provides you with a shareable certificate. This course can be applied to multiple specializations or professional certificate programs too. The course is based on practical applications and is also 100 percent free. You can complete the course in approximately 9 hours.
2. Analyzing Data with Python by EdX
This comprehensive program discusses how Python can be useful in analyzing data and using it to solve real-world problems. Work with multiple NumPy case layouts and use DataFrames on pandas. Along with this, you will have the opportunity to work on machine learning and use different libraries and tools. By the end of the course, you will have a solid foundation and will be ready to go on to earn a master’s degree. The course takes an estimated 5 weeks to complete with 2-4 hours of classes per week. But the course is totally self-paced and the basic version of the course is free. But you also get to select an upgraded version that is paid. The course also teaches students to use the SciPy library of mathematical routines and perform machine learning using scikit-learn. Also, learners who successfully complete this IBM course can earn a skill badge.
3. Learning Python for Data Analysis and Visualization by Udemy
If you are someone who is a beginner in python but wants to kick start a promising career in Data Analysis, then this course is a perfect choice for you. The course is perfectly tailored for beginners and after completion of the syllabus, you will have an intermediate skill level of Python programming. The course also covers the fundamentals of working with various data formats within python, which includes JSON, HTML, and MS Excel Worksheets. You will also learn to create data visualizations using matplotlib and the seaborn modules with python. The course is offered by Udemy which is one of the most popular online learning platforms. A total of 21 hours of on-demand video is available for students along with 3 articles and 4 downloadable resources. You can access the course even on your smartphones and televisions. The price of the whole course is 119$ and you get lifetime access after you purchase. They also have a 30-day money-back guarantee in case you did not like the course.
4. Introduction to Python by Datacamp
Data camp is the most popular online learning platform for computer engineers and IT professionals. They are especially known for their computer language courses. The introduction to python is a course for beginners who are just getting familiar with the programming language. The curriculum helps you to master all the basic skillsets of data analysis in Python. The course also teaches scientific computing with NumPy. The course starts out with the foundation concepts of the language and then progressing to lists, tuples, functions, methods along with other sub-sections. You will also be working with larger datasets that replicate real-life scenarios. The course features interactive lessons taught by experienced faculty which makes it easy and fun to learn. Also, the first module of the class can be accessed for free to make sure that the course is for you. In total, the course contains 11 videos and 57 exercises for you to complete.
5. Data Analysis with Python by CognitiveClass.ai
This data analysis course provides a unique syllabus that covers the basics of the use of python in data analysis. The course consists of a total of 5 modules which cover almost everything you will need. The material is taught through lectures, assignments, and hands-on labs. You will be learning how to use Panda DataFrames, Numpymulti-dimensional arrays, and SciPy libraries to work with various datasets. The course will also introduce you to another open-source library, sci-kit-learn, and the website uses some of its machine learning algorithms to build smart models and predictions. The course is taught by 2 Ph.D. Graduates, Joseph Santarcangelo and Mahdi Noorian. After the course, you will have mastered skills like importing data sets, cleaning and preparing data for analysis, and summarizing data. The course takes a total of 8 hours to complete and is absolutely free of cost and you can access it as many times as you need.
6. Introduction to Data Analysis by Udacity
In this program, you will have the opportunity to work with a variety of data sets and test each one thoroughly. Use libraries like Pandas, NumPy and see how they can be used to solve sector-level problems. By the end of the classes, you will have the confidence and ability to manage all the covered topics. The course is taught by industry experts and pioneers in their field. The material also includes various interactive quizzes to keep students engaged and active throughout. You will also be taught how to wrangle your data into a format you can use and fixing any problems with it. The course takes approximately 6 weeks to finish but is self-paced and you can take your own time completing it. You can also draw conclusions and make predictions and also communicate your findings with the faculty. The course is also free of cost.
7. Applied Data Analysis with Python by Coursera
With almost 3 lakh students enrolling, this is one of the most popular courses on Coursera, and rightly so. This course provides you with all the tips and tricks required to master the use of Python in data analysis. The course is also offered by the prestigious University of Michigan which makes it even better. Through the syllabus, you will learn to decide whether a specific data visualization is good or bad and also to analyze the connectivity of a social network. Text Mining, Python Programming, Numpy, Machine learning, etc are some of the important skills that you will learn after completion of this course. The course is taught 100 percent online which means that you can schedule deadlines according to your convenience. The website also rewards students with a shareable online certificate after successful completion of the course. This is not a beginner-level course though and you will need some experience with python and data analysis to properly understand the course material. Even though the class is taught in English, subtitles in a variety of different languages are provided.
8. Exploratory Data Analysis with Python and Pandas by Coursera
This course is also provided by Coursera and is a 2-hour long project-based course in which you will master the skill of exploratory Data analysis in python. Throughout the course, you will utilize external Python packages like Pandas, Numpy, and Seaborn to conduct different types of data analysis. The course is a beginner-level course and can only be accessed on your desktop. The website also provides a split-screen option for students to practice and learn at the same time. You also do not have to download any of the resources and you will also be covering a wide array of topics. The different topics covered include Initial Data exploration, Univariate Analysis, Bivariate Analysis, Identifying and Handling duplicate data, Correction Analysis, etc.