Data Analytics Methods
Discover key methods in data analytics through hands-on, interactive learning. Apply statistical models, analyze trends and transform raw data into actionable insights to solve real-world problems.
$599
Total: Course cost
11 hours to complete
3 modules
Online - self-paced
Learning modality
Earn a credential
View credential
$599
Total: Course cost
11 hours to complete
3 modules
Online - self-paced
Learning modality
Earn a credential
View credential
$599
Total: Course cost
11 hours to complete
3 modules
Online - self-paced
Learning modality
Earn a credential
View credential
$599
Total: Course cost
11 hours to complete
Duration
Online - self-paced
Overview
Gain practical, hands-on experience with foundational data analytics techniques to solve complex problems and make data-driven decisions. This course teaches you to apply statistical models, analyze trends and uncover patterns through interactive modules and guided exercises.
Key Benefits:
- Apply statistical methods like regression analysis and hypothesis testing to extract insights.
- Learn to clean, transform and analyze datasets to identify patterns and trends.
- Build confidence in using data to address critical business questions.
What’s Included:
- Statistical models: Learn regression analysis, descriptive statistics and hypothesis testing.
- Hands-on practice: Work with real-world datasets to uncover patterns and trends.
- Interactive modules: Explore data analytics techniques with guided lessons and exercises.
- Practical tools: Build expertise in Excel and other analytics platforms for business applications.
Course Modules
Recommended resource
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Data Analytics Job Simulation
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Certificate program
This course is a part of the following certificate program:
Who this course is designed for
- Aspiring and current data analysts seeking to expand their skills in predictive and classification modeling using Python.
- Business professionals looking to leverage regression and classification techniques for data-driven decision-making.
- Team leads and managers aiming to interpret and apply advanced analytics models to organizational challenges.
- Operations and analytics professionals focused on mastering Python for building reliable and actionable predictive models.
Outcomes
By the end of this course, you’ll be able to:
- Develop and evaluate regression and classification models to predict outcomes and classify data.
- Use Python and its statistical libraries to create and interpret predictive analytics solutions.
- Analyze and visualize data insights to support decision-making and solve real-world business problems.
- Apply advanced data analytics techniques to classify and predict states or behaviors with precision.
Practical skills you will develop
This program equips learners with vital skills to thrive in today's complex workforce. Key skills include:
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