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Data Science Overview with Python
Dive into data with Python! Transform raw data into actionable insights, mastering data preparation, wrangling, and modeling. Start your data science journey today.
Trusted by 220,000+ people worldwide.
An outline of this training course
Explore the essentials of data preparation, wrangling, and modeling with Python in this engaging course. Gain hands-on experience in extracting, cleaning, and transforming data using Python libraries. Tackle data science modeling techniques including regression, classification, and clustering with scikit-learn, focusing on effective model evaluation and tuning. By the end of this course, you’ll master the data science pipeline, equipped to extract meaningful insights from raw data. Perfect for anyone eager to enhance their data science prowess. Join us and unlock the potential of your data!
What is needed to take this course
This course is designed to be accessible to individuals with a background in programming concepts and Python programming language and a basic understanding of statistics. Prior experience with Python will be beneficial but not mandatory.
Who is the course for
This course is ideal for analysts looking to acquire essential data science skills using Python.
Details of what you will learn in this course
By the end of this course, you will:
- Master data cleaning techniques, including missing value imputation, outlier detection and cleaning, and data normalization.
- Apply exploratory data analysis techniques, feature selection methods, and variable reduction.
- Utilize exploratory data analysis techniques for data understanding and insights.
- Build regression and classification models for predictive data modeling.
- Evaluate and interpret results of data models for decision-making.
What you get with the course
- A 1+hour self-paced video training
Program Level
Intermediate
Field(s) of Study
Computer Software & App
Instruction Delivery Method
QAS Self-study
***This course was published in June 2023
Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org
What our
Students Say
Curriculum
Course Overview
Resources
Introduction
Data Analysis Fundamentals
Models
Conclusion and Next Steps
Your
Instructor
Gaelim Holland
Enterprise DNA Expert
- Innovative Data Analyst and Digital Channel Optimization Specialist with thorough knowledge of Omni channel analytics and incorporating online and offline data in funnel analysis.
- Skilled in maximizing online sales, revenue, and call-to-actions through conversion rate optimization, statistical science, and A/B testing. Deep expertise in statistical testing tools, data extraction, and data science.
- My 15 year career has allowed me to work in multiple data science roles in several industries at organizations from the startup level to Fortune 500 companies across 3 continents.
Frequently Asked
Questions
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