Acquire proficiency in utilizing robust Python resources, such as Pandas, Git, and Matplotlib, which are open-source, to handle, scrutinize, and depict intricate datasets.
Course Description:
In today’s information-driven era, data surrounds us, holding answers to intriguing questions across diverse fields like politics, business, and science. Yet, if you were presented with a vast dataset, would you know how to uncover the insights you seek?
This course, a segment of the Data Science MicroMasters program, will introduce you to a set of potent open-source tools essential for data analysis and data science endeavors. Specifically, you will gain proficiency in utilizing:
- Python
- Jupyter Notebooks
- Pandas
- NumPy
- Matplotlib
- Git
- And a host of other tools.
These tools will be learned in the context of solving captivating data science challenges.
Upon completion of this course, you will possess the ability to extract insights from extensive datasets using Python tools. You’ll be adept at importing, exploring, analyzing, learning from, visualizing, and creating easily shareable reports based on data.
By acquiring these skills, you’ll also join a global community dedicated to developing data science resources, exploring public datasets, and engaging in discussions rooted in evidence-based discoveries. Most importantly, this course will provide the foundational knowledge necessary for success in subsequent courses within the Data Science MicroMasters program.
Summary:
- Institution: UCSanDiegoX
- Field: Data Analysis & Statistics
- Level: Advanced
- Prerequisites: Prospective learners are expected to have prior experience with any programming language (such as Java, C, Pascal, Fortran, C++, Python, PHP, etc.). This includes a familiarity equivalent to completing a high school or undergraduate introductory computer science course. Comfort with concepts like loops, if/else statements, and variables is also assumed.
- Language of Instruction: English
- Transcripts: Available in English
- Related Programs: MicroMasters® Program in Data Science
- Relevant Competencies: Git (Version Control System), Data Science, Business Science, Matplotlib, Pandas (Python Package), Python (Programming Language), Python Tools For Visual Studio
What You Will Gain Knowledge Of:
- Fundamental data science procedures
- Python and Jupyter notebook utilization
- A practical grasp of manipulating and examining unprocessed datasets
- Foundational skills in statistical analysis and machine learning techniques
- Proficiency in efficiently representing and displaying results