Data Science & AI: Python, ML & TensorFlow Beginner
The Introduction to Data Science and AI (Using Python) course by Koenig Original equips aspiring data analysts and career switchers with foundational skills in Python, statistical analysis, data manipulation, and machine learning to solve the critical industry challenge of transforming raw data into actionable insights. With global demand for data science professionals projected to grow 36% by 2025 (U.S. Bureau of Labor Statistics), this course delivers hands-on training in NumPy, Pandas, Scikit-learn, and data visualization tools used by 70% of data scientists.
Prepares learners for Koenig’s Data Science with Python certification, enhancing career readiness with guaranteed-to-run live training and 30-day lab access. Graduates gain the confidence to build predictive models and drive data-informed decisions in real-world business environments.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Introduction to Data Science and AI (Using Python) course by Koenig Original is designed for aspiring data analysts, machine learning engineers, and business intelligence professionals seeking foundational expertise in data-driven technologies. This comprehensive program covers core concepts in data science, statistical analysis, and artificial intelligence using Python, offering hands-on experience with real-world datasets. With global demand for data science skills projected to grow over 30% annually through 2025, according to industry reports, this course equips learners with in-demand competencies. Participants will gain proficiency in Python programming, exploratory data analysis (EDA), and predictive modeling techniques essential for roles in analytics, AI development, and data engineering.
Students engage with key Python-based tools and libraries including NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, and BeautifulSoup, all within a live lab environment using Jupyter Notebook. The hands-on labs emphasize practical skill development, such as building regression models, performing web scraping, and creating visualizations from structured and unstructured data. A capstone project involves analyzing a real-world dataset to derive actionable insights, mimicking industry workflows used by data science teams. The course integrates Python with big data frameworks like Hadoop and Spark via PySpark, enabling students to process large-scale datasets, preparing them for enterprise-level data challenges.
While no official certification exam is tied directly to this Koenig Original course, it provides foundational preparation for data science and machine learning credentials, enhancing career readiness in high-growth domains. Data scientists earn an average salary of $120,000 globally, with demand surging across finance, healthcare, and technology sectors. Koenig Solutions differentiates itself with Guaranteed-to-Run classes, 1-on-1 training options, and expert-led instruction, ensuring personalized learning outcomes. By mastering the Introduction to Data Science and AI (Using Python), learners are positioned to transition into advanced analytics roles or pursue further specialization in AI and big data engineering.
What You'll Learn
Prerequisites
- Prerequisites for Introduction to Data Science and AI (Using Python) by Koenig Original:
- Proficiency in Python programming including list comprehensions, functions, and data structures.
- Working knowledge of algebraic principles and foundational statistical concepts.
- Experience manipulating datasets using Python libraries such as NumPy and Pandas.
- Ability to generate data visualizations using Matplotlib or equivalent plotting tools.
- Competence in navigating and executing code within Jupyter Notebook or similar interactive development environments.
- Familiarity with foundational machine learning terminology including regression and classification models.
Certification Exam
Everything you need to know about the Data Science & AI: Python, ML & TensorFlow certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Data Exploration and Analysis
2
Day 2– Data Science in Action: Model Building
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 & AI: Python, ML & TensorFlow certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Data Science & AI: Python, ML & TensorFlow certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Data Analyst
- Junior Data Scientist
- Business Intelligence Analyst
- Analytics Associate
- Reporting Analyst
- Data Visualization Specialist
Companies Hiring
and 5,000+ organizations worldwide seeking Data Science & AI: Python, ML & TensorFlow certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
-
★★★★★
“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 -
★★★★★
“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 & AI: Python, ML & TensorFlow training course
Is the certification exam included in the course fee for Introduction to Data Science and AI (Using Python)? If not, what is the exam fee?
What training formats are offered for Introduction to Data Science and AI (Using Python), and does Koenig provide Guaranteed-to-Run scheduling?
How long is lab access provided for Introduction to Data Science and AI (Using Python), and what environment is used?
What is Koenig's rescheduling and cancellation policy for Introduction to Data Science and AI (Using Python)?
What is the exam format and difficulty level for the Introduction to Data Science and AI (Using Python) certification?
How long is the Introduction to Data Science and AI (Using Python) certification valid, and what is the renewal process?
What post-training support does Koenig provide for Introduction to Data Science and AI (Using Python) course graduates?
What are the prerequisites or prior experience needed for the Introduction to Data Science and AI (Using Python) course?
What career impact and salary potential can learners expect after completing Introduction to Data Science and AI (Using Python)?
How does the Introduction to Data Science and AI (Using Python) course compare to self-study in terms of structure and outcomes?
Still have questions?
Chat with a Training Advisor →Resources
Learn more about Data Science & AI: Python, ML & TensorFlow before you enroll
CompTIA DataX: Hidden Gems Beyond Data Analysis
CompTIA DataX is the premier certification for highly experienced professionals seeking to validate competency in the evolving field of data…
Read GuideData Science vs Business Analytics: Which Path Fits 2025
Data is essential for making informed decisions in businesses, and professionals are needed to extract valuable insights from it. Data scien…
Read ArticleThe Role of Data Analytics in Modern Transportation Management Training
In today’s dynamic and interconnected supply chain environment, transportation management is no longer just about moving goods from point A…
Read ArticleHappiness Guarantee
We are so confident in the quality of our training that we offer a full money-back guarantee. Not satisfied? Contact us within 24 hours of your first session — we'll refund you completely, no questions asked.
