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Analyze Data
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Course Cost

Free course

Intermediate

Skill Level

19 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full CertNexus Certified Data Science Practitioner Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.7

1,658 Enrolled

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English

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olive-leaves-logo

4.7

1,658 Enrolled

olive-leaves-logo

English

What you'll learn

  • Conduct exploratory data analysis efficiently

  • Apply statistical methods to understand data distributions

  • Create effective data visualizations for analysis

  • Preprocess data for machine learning applications

  • Implement feature engineering techniques

Skills you'll gain

Data Analysis
Data Preprocessing
Statistical Analysis
Data Visualization
Feature Engineering
Dimensionality Reduction
Python Programming
Data Insights

This course includes:

3.1 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive data analysis course covers exploratory data analysis, statistical methods, and data visualization techniques. Students learn to examine datasets, analyze distributions, create various types of visualizations, and preprocess data for machine learning. The curriculum includes hands-on practice with histograms, scatter plots, box plots, and geographical maps, along with advanced topics like feature engineering and dimensionality reduction.

Examine Data

Module 1 · 2 Hours to complete

Explore the Underlying Distribution

Module 2 · 2 Hours to complete

Use Visualizations to Analyze Data

Module 3 · 4 Hours to complete

Preprocess Data

Module 4 · 6 Hours to complete

Apply What You've Learned

Module 5 · 5 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: CertNexus Certified Data Science Practitioner Certificate

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Analyze Data

Intermediate

Skill Level

19 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.