Data Analysis with NumPy and Pandas
$49
ENROLL NOWCourse Overview
What You'll Learn
- This Specialization equips learners with essential skills in Python-based data analysis using NumPy and Pandas.
- Starting with foundational numerical operations, learners progress to advanced data manipulation, cleaning, and transformation techniques.
- Through real-world datasets and case studies, participants will gain hands-on experience in building efficient workflows, handling missing values, managing time series, and applying advanced analytical techniques.
This Specialization equips learners with essential skills in Python-based data analysis using NumPy and Pandas. Starting with foundational numerical operations, learners progress to advanced data manipulation, cleaning, and transformation techniques. Through real-world datasets and case studies, participants will gain hands-on experience in building efficient workflows, handling missing values, managing time series, and applying advanced analytical techniques. By the end of the program, learners will be prepared to apply industry-relevant skills in data science, business intelligence, and analytics roles.
Course FAQs
Is this an accredited online course?
Accreditation for 'Data Analysis with NumPy and Pandas' is determined by the provider, EDUCBA. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Data Analysis with NumPy and Pandas' on the EDUCBA online class platform, where you can complete your registration.
