Data Science: Python, Pandas & Regression Beginner
The Introduction to Data Science course by Open Source equips aspiring data analysts and career-switchers with foundational skills in data collection, cleaning, analysis, and visualization using real-world datasets. Designed for learners with little prior experience, it solves the challenge of breaking into a high-growth field where demand is surging, as employment of data scientists is projected to grow 34 percent from 2024 to 2034. This course prepares learners for entry-level roles by building practical competencies and provides a certificate of completion upon finishing the program to validate your new skills for industry employers.
Training Formats & Pricing
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Course Overview
The Open Source Introduction to Data Science course provides a foundational understanding of data science principles, designed for aspiring data analysts, junior data scientists, and business intelligence professionals seeking to leverage data for decision-making. While no formal certification exam is tied directly to this open curriculum, it aligns with industry-recognized competencies measured in credentials like the Open Certified Data Scientist (Open CDS) and supports preparation for role-based assessments. With demand for data professionals projected to grow 34% from 2024 to 2034—much faster than average according to the U.S. Bureau of Labor Statistics—this course equips learners with essential skills sought by employers across tech, finance, and healthcare sectors. It serves as a critical entry point for individuals aiming to enter one of today’s most in-demand fields.
This course emphasizes hands-on learning using core open-source tools including Python, Jupyter Notebooks, GitHub, Pandas, NumPy, and Matplotlib, all accessed through cloud-based environments like Google Colab and MyBinder. Students engage in practical labs where they clean real-world datasets, perform exploratory data analysis, build predictive models, and create interactive visualizations. A key project involves completing an end-to-end data science workflow using COVID-19 public health data, from data scraping and wrangling to deriving insights and presenting findings via reproducible reports. These exercises are structured to simulate actual data science tasks, ensuring learners gain applied experience with the same tools used by professionals in the field.
By mastering the Open Source Introduction to Data Science curriculum, learners prepare for entry-level roles in data science and analytics, fields where the median annual wage was $112,590 as of May 2024. The comprehensive skill set developed—including statistical analysis, data visualization, and machine learning basics—positions graduates for career advancement in high-growth areas. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches and access to official courseware, ensuring structured, instructor-led training even for self-paced open content. Graduates emerge ready to contribute to data-driven organizations, equipped to pursue further certifications and advance toward senior analyst or data scientist roles.
Skills You'll Gain
Prerequisites
- Secondary school mathematics, including algebra, functions, and basic statistics, forms the foundation for learning data science with the 'Introduction to Data Science' course by Open Source.
- Familiarity with using a web browser and basic file system operations is essential for effective learning in this data science course.
- Ability to install and configure Python packages using conda or pip is crucial for hands-on practice in the 'Introduction to Data Science' program by Open Source.
- Understanding fundamental data types such as strings, integers, floats, and booleans is necessary to grasp core data science concepts taught in this course.
- Basic experience with Jupyter notebooks and interactive coding environments helps learners quickly adapt to practical exercises in the 'Introduction to Data Science' training by Open Source.
- A conceptual understanding of variables, expressions, and control flow in programming is vital to succeed in this data science course from Open Source.
Certification Exam
Everything you need to know about the Data Science: Python, Pandas & Regression certification exam
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of Data Science: Python, Pandas & Regression certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Data Science: Python, Pandas & Regression certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Data Analyst
- Junior Data Scientist
- Business Intelligence Analyst
- Statistical Analyst
- Data Science Associate
- Entry-Level Data Engineer
Companies Hiring
and 5,000+ organizations worldwide seeking Data Science: Python, Pandas & Regression certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
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“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
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“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
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“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified
-
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the Data Science: Python, Pandas & Regression training course
Is the certification exam included in the Introduction to Data Science course fee, and what is the cost of the exam?
What training formats are available for the Introduction to Data Science course, and does Koenig offer Guaranteed-to-Run scheduling?
How long is lab access provided, and what type of environment is used for hands-on practice in the Introduction to Data Science course?
What is Koenig's rescheduling and cancellation policy for the Introduction to Data Science course?
What is the format, number of questions, passing score, and time limit for the Introduction to Data Science certification exam?
How long is the Introduction to Data Science certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the Introduction to Data Science course?
What are the prerequisites or prior experience needed to enroll in the Introduction to Data Science course?
What salary increase or career impact can one expect after completing the Introduction to Data Science course?
How does instructor-led training from Koenig compare to self-study for mastering Introduction to Data Science concepts?
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