Python is THE MOST POPULAR programming language used by data scientists. It’s a no-brainer to start your journey by learning Python coding.
However, Python is only a tool used by data scientists for analyzing complex data. To become a data scientist, you need to learn how to analyze data using various tools and libraries in the ecosystem such as NumPy, SciPy, Pandas, and Plotly. Keep in mind that the ability to extract, load, transform, reshape, and visualize data using Python is the key to the success.
This course focuses on teaching the necessary coding, data wrangling, data analysis, and visualization skills required for data scientists. Do you want to know how we help students maximize their learning effectiveness through hands-on projects, coding quizzes, presentations, strong teaching guidance, and support?
Fill out the inquiry form to learn more about the Data Science course curriculum or to talk to our learning advisor.
In this course, we start by introducing Python programming fundamentals including coding basics, data types, functions & modules, and then we will teach Pandas DataFrame for data munging and analysis, NumPy and SciPy for numerical computing, Matplotlib, Seaborn and Plotly for visualization, and Scikit-Learn for predictive modeling.
You will put these tools to use by implementing your own portfolio project and learn how to articulate your analysis through technical and business presentations.
This 5-week Data Science with Python course is one of WeCloudData’s signature course products. Hundreds of students have participated in this course and taken their data analytics skills to the next level. You will meet hiring managers, product managers, directors, and many other professionals who come to this class to polish their Python skills. The course is practical by design, and students learn how to carry out end-to-end data analysis, discover insight, and communicate analytical results through hands-on project implementations.
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