Are you interested in learning how to perform data analysis using Python but are completely new to programming? Would you like to move away from traditional spreadsheet software such as Excel and start exploring the exciting possibilities of data science? Do you want to be able to create meaningful data visualizations and gain insights from data? Look no further than the Data Analysis in Python course, designed specifically for beginners like you.
Learn Python basics and real-life data analysis with Pandas
The course starts by introducing you to Python and its data science tools, with a focus on pandas, one of the most popular libraries for data manipulation and analysis. The course is beginner-friendly, assuming no prior programming experience, and takes you on a step-by-step learning journey where by the end, you'll be confident enough to perform data analysis and visualization tasks on your own.
With a course rating aggregate of 4.40747 out of 5 and 91 course reviews, it is clear that students have been more than satisfied with the course content and delivery. The course is delivered in a way that is easy to follow, with clear explanations and examples. The course material is designed to help ease beginners into programming with Python and does so in a practical and engaging way.
Course Details
The course first starts with an introduction to Python and teaches you all the basics of the programming language that you need to know in order to perform data analysis. You will learn how to set up virtual environments in Anaconda, work with Jupyter Notebooks, and master the fundamentals of Python, including working with variables and data structures such as lists and dictionaries. The course also delves into more advanced Python concepts, such as working with functions and importing modules into a Jupyter Notebook.
In addition to Python, the course covers the key data science modules such as Numpy, Pandas, and Matplotlib. You will learn how to work with Numpy arrays and Pandas data frames. You'll start by learning how to load data into your notebook, followed by exploring and visualizing that data. You'll create data visualizations for Covid-19 data sets, plot case numbers and analyze where the cases occurred on a map.
You'll also use Matplotlib to plot share prices and learn how to use Pandas to combine two datasets to find and visualize the location of the UK's biggest energy consumers. One of the projects will introduce you to the basics of SQLite and plotly. With the practical aspects of data analysis covered, you'll learn how to problem-solve and find help when working on your own projects.
Benefits of taking this course
Beginner-friendly course content
One of the key strengths of this course is that it is designed specifically for beginners. The course instructors assume no prior programming experience and take students through a step-by-step journey teaching students all the foundational Python concepts that are necessary to perform data analysis. The course is delivered in a way that is easy to follow, with clear explanations and examples given.
Hands-on practical projects
The second major benefit of this course is its practicality. While the course material teaches all the foundational concepts necessary to perform data analysis, it also exposes students to real-life data analysis projects to help put that knowledge into practice. This blend of theory and practice can help students to gain a better understanding of the concepts covered in the course, leading to a more in-depth level of learning.
Excellent course ratings
With an aggregate course rating of 4.40747 and 91 reviews, it is clear that students have derived great benefit from this course. Many of the reviews mention the course's clear explanations, ease of understanding, and practicality. Given the positive reviews and ratings, it's hard not to recommend this course for beginners who want to learn data analysis using Python and Pandas.
Is this course for you?
If you've been looking for an entry-level course that teaches data analysis using Python and Pandas, this course is going to be an excellent choice. The course instructors start by teaching all the Python concepts that are necessary for data analysis and visualization and then get you working on practical projects that can help cement that foundational knowledge. The end result is that you will be confident in your ability to use Python for data analysis.
Whether you're looking to start a new career in data analysis, upskill in your current role, or develop your Python programming skills, this course will definitely help you achieve your career goals.
