What Skills Will You Gain
Data manipulation with pandas and NumPy
Data visualization with Matplotlib and Seaborn
Basic statistical analysis in Python
Introductory machine learning with scikit-learn
$29.95
$19.99
$35.95
$22.99
0% Off
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$29.95
$19.99
$35.95
$22.99
0% Off
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The Data Science with Python course covers foundational data analysis and visualization using Python. Through video lessons and hands-on exercises, you'll build practical, job-ready skills at your own pace. There's no proctored exam tied to this course — it's designed purely to build and demonstrate real capability.
The Data Science with Python course is built by Whizlabs to walk through these concepts step by step, so the skills you build here transfer directly to real projects.
Data manipulation with pandas and NumPy
Data visualization with Matplotlib and Seaborn
Basic statistical analysis in Python
Introductory machine learning with scikit-learn
24x7 support from Python-certified experts
This course is valid for 2 years from the date of purchase
Practice tests with unique, exam-style questions
Detailed explanations for every practice question
Hands-on labs using real Python services
Content aligned to current tools and best practices
This is a skill-building course rather than a proctored exam, so there are no official domains or weightings to report. Instead, here are the core skill areas the Data Science with Python course is built around.
Data manipulation with pandas and NumPy
Data visualization with Matplotlib and Seaborn
Basic statistical analysis in Python
Introductory machine learning with scikit-learn
The Data Science with Python course lays out a clear, self-paced path, so you're not guessing what to work through next.
Start with the video lessons in this Data Science with Python course to build a working model of the core concepts. Then move into the hands-on labs, where you apply what you've learned in a real environment instead of only reading about it.
Since this is a skill-building course rather than a certification exam, there's no practice test score threshold to hit. "Finishing" simply means working through the videos and labs end to end until you're comfortable applying these skills on your own projects.
The Data Science with Python course has no formal prerequisites, so there's no prior certification required to start. It's built as an accessible entry point for anyone building these skills, whether or not you've worked with this technology before.
Because this is a skills course rather than a vendor certification, there's no exam validity period to track. You keep access to the Data Science with Python course and its updates for as long as your course access remains active, per current Whizlabs course terms.
Many learners pair the Data Science with Python course with a related certification-track course to build both practical skill and a formal credential.
This course builds practical, job-ready skills in foundational data analysis and visualization using Python. It's a fast way to pick up in-demand capability without needing a formal exam, so you can apply what you learn right away.
Positions you for aspiring data scientists and analysts roles, and signals proven, job-ready expertise in foundational data analysis and visualization using Python.
Helps your organization apply foundational data analysis and visualization using Python more effectively, reducing risk and improving efficiency in real deployments.
Deepens your hands-on understanding of foundational data analysis and visualization using Python, moving beyond theory into practical, job-ready skills.
Foundational skills like this are consistently linked to stronger salaries and career growth in Python-related roles.
Exam Format and Information
Prior Certification
Not Required
Course Validity
Not Applicable*
Course Fee
Not Applicable*
Course Duration
Not Applicable*
No Proctored Exam
Not Applicable
Assessment
Not Applicable
Best for those with hands-on or working familiarity with foundational data analysis and visualization using Python.
English.
Video lessons and hands-on exercises (no proctored exam).
There are no formal prerequisites for this course. Hands-on experience with foundational data analysis and visualization using Python makes it more approachable. It's designed for aspiring data scientists, analysts, and anyone building these skills.
Aspiring data scientists working with foundational data analysis and.
Analysts building foundational skills.
IT professionals expanding into this specialization.
Consultants advising clients on Python best practices.
Students and career changers entering the field.
Anyone pursuing the Data Science with Python skill set.
Get help from experienced instructors whenever a concept doesn't click.
Work through real, guided exercises using live Python tools and environments.
Learn at your own pace with lifetime-style access to lessons and labs.
Earn a completion certificate to showcase your new skills.
Testimonials
Overall Feedbacks
Maria
Maria
There are no specific prerequisites to learn this Data Science with python course. However, having basic programming language will be of a great advantage.
With this Data Science with Python course, you will learn how to:
Python is a highly interactive, high-level, object-oriented, and interpreted scripting language. It is specially tailored for higher readability with the frequent use of English terms and limited dependence on syntax constructions in comparison to other programming languages. So, it is the most preferred programming language for beginners, students, and existing IT professionals to boost their career as a software programmer. Apart from boosting career opportunities in the domain of web development, Python skills can also help in exploring various career options in other fields.
Yes, the Python Institute offers the entry-level certification exam, i.e., the Certified Entry-Level Python Programmer Certification. The PCEP certification helps in validating the fluency of a professional in various universal computer programming concepts such as functions, loops, data types, containers, conditions as well as Python runtime environment, semantics, and the programming language syntax.
This Introduction to Data Science Python training course is ideal for:
Python is one of the most popular major programming languages due to its features. You can find the following important features in the Python programming language.
First of all, you need to note the prominent job prospects with Python skills in the existing IT job market. Presently, the roles of Python Engineer, Python Apps Developer, Python Developer, Python Full Stack Developer, and Python Back-end Engineer, Developer, and Architect are exhibiting trends upward. Python is very easy to learn and use for different applications, thereby offering you flexibility for exploring career options across different industries and roles.
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