Matplotlib, Seaborn, and Plotly Python Libraries for Beginners

Welcome to the Matplotlib, Seaborn, and Plotly Python Libraries for Beginners course, where you’ll embark on a journey to master three essential tools for data visualization in Python.

Dive into Matplotlib to prepare your data and create various charts like line charts, bar charts, and scatter plots. Then, refine your visualization skills with Seaborn’s advanced techniques and explore Plotly to create interactive and visually appealing charts for enhanced data storytelling.

Throughout the course, you’ll engage in hands-on exercises to reinforce your understanding of each library. Whether you’re a beginner or seeking to enhance your Python proficiency, this course equips you with essential tools to excel in data visualization tasks.

By the end of this course, you should be able to confidently navigate Matplotlib, Seaborn, and Plotly, equipped with the skills to transform raw data into compelling visuals. Gain proficiency in these powerful Python libraries, enhancing your data analysis skills and improving your ability to communicate insights effectively.

By the end of this course, you will be able to:

• Prepare data for visualization using Matplotlib.
• Create customized line charts with Matplotlib.
• Generate multiple line charts for comparative analysis.
• Construct bar charts to represent categorical data.
• Develop scatter plots to explore relationships between variables.
• Utilize Seaborn and Plotly libraries for diverse chart types.

WHAT YOU GET

Certificate of Completion

• Earn a certificate each time you complete a course.
• Showcase your commitment to continuous growth and professional development.
• Impress potential employers.
• Enhance your professional profile.
• Available in PDF format to Download or Print.

INSTRUCTOR

Kieran Keene

Introducing Kieran Keene, a distinguished data professional and visionary technical leader with a wealth of experience in data, analytics, engineering, science, and governance. Currently serving as the Head of Data, Kieran oversees a dynamic team of data professionals comprising Data Scientists, Engineers, and Analysts. Kieran balances hands-on technical development with mentorship, team management, strategy definition, and financial oversight in his multifaceted role. His expertise shines through in his adeptness at delivering data pipelines, predictive models, and actionable insights using a diverse toolkit including Hadoop, SQL, Apache Spark, Python, Tableau, and PowerBI. Beyond his corporate responsibilities, Kieran is a passionate educator who has created multiple acclaimed courses. These courses, covering Python, Pandas, Polars, and Apache Spark, have solidified his status as a trusted mentor and guide in the data science community. Join Kieran Keene on a journey of exploration and empowerment, where data becomes the catalyst for innovation and growth. Whether navigating complex data pipelines or diving into the intricacies of predictive modeling, Kieran's expertise and passion for teaching will illuminate your path to success. Embrace the opportunity to learn from a true industry leader and transform your data-driven aspirations into reality.