Python Data Analysis

Issued by Lincoln Technologies

Earners of this credential have learned the fundamentals of data analysis while building Python skills. They have been exposed to basic data cleaning and prep while using libraries like Numpy. The course includes case studies, capstone projects, and a series of teachings for hypothesis testing.WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWEarners of this credential have learned the fundamentals of data analysis while building Python skills. They have been exposed to basic data cleaning and prep while using libraries like Numpy. The course includes case studies, capstone projects, and a series of teachings for hypothesis testing.

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Skills

Earning Criteria

Complete all 8 modules of the "Analyze Data with Python" course.
Pass the qualification exam with at least 80%.

Endorsements

American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit and/or workplace competencies. It is recommended for a total of 3 college credits. For more information about ACE Learning Evaluations evaluations, visit www.acenet.edu.

Occupations

Data Analysts

Import, inspect, clean, transform, validate, model, or interpret collections of data to improve business decisions and processes. Ensure that the data sources and repositories provide consistent and reliable data using different algorithms and IT tools. May prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Data Engineers

Develop, construct, test and maintain architectures, such as databases and large-scale processing systems.

Clinical Data Management Specialists

Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.

Data Scientists

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Data Warehousing Specialists

Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.