Analyze Data
Master data analysis techniques including statistical analysis, visualization, and preprocessing for machine learning applications.
Master data analysis techniques including statistical analysis, visualization, and preprocessing for machine learning applications.
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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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
This course includes:
3.1 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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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
Instructors
Data Science Champion Sarah Haq Empowers Women in AI While Driving Innovation at Artsy
Sarah Haq, currently serving as a Data Engineer at Artsy and Mentor at Women in AI Academy, has established herself as a prominent advocate for women in data science while maintaining an impressive career in technical innovation. Her expertise in building and monitoring Machine Learning models, combined with her role as a Subject Expert Contributor for the Certified Data Science Practitioner 110 Exam and program author at CertNexus, demonstrates her comprehensive understanding of the field. Beyond her technical contributions, Haq is particularly recognized for her passionate advocacy in generating interest in Data Science among girls and women, regularly sharing her knowledge and enthusiasm across social platforms to inspire the next generation of female data scientists.
Cybersecurity Veteran Stacey McBrine Shapes Next Generation of Tech Leaders
Stacey McBrine brings over three decades of comprehensive expertise in systems analysis, security, and network architecture to the technology education landscape. His illustrious career spans from developing software solutions in assembly language and Oracle to providing crucial consulting services for business process automation and security. As an accomplished author and technical editor, McBrine has shared his knowledge through two published books and served on the Information and Communications Technology Council's Cyber Security Advisory Committee. Since 1999, he has been transforming classroom education with his practical approach to security, AI, and IoT technologies, earning prestigious recognitions including the CompTIA outstanding TTT Instructor award (2018) and Cisco Routing & Switching Instructor Excellence Award (2020). His exceptional credentials include authorizations from ISC2, Cisco, Logical Operations, CompTIA, and EC-Council, complemented by an impressive array of certifications including CISSP, CCNA, CAIP, and numerous others, making him one of the earliest MCSE certification holders for Windows 2000.
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Frequently asked questions
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