Norbert Eke Data Science/Becoming a Data Scientist - How To Land Your First Data Science Role

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Becoming a Data Scientist - How To Land Your First Data Science Role

  • Course
  • 13 Lessons

Fast-track your data science career with my 12 lesson mentorship video-series. Learn about what essential technical skills should you have, how to build an impressive portfolio, and nail interviews with confidence. From Python libraries to soft skills & industry insights, this course bridges the gap between academic knowledge and landing your first DS role. Use the discount code VLPC3IQ to start your journey today!

Contents

Module 1: Introduction to the Data Science World

Dive into the foundations of data science with this comprehensive introduction.

Explore the complete project lifecycle, identify crucial technical skills employers seek, and discover the most powerful Python libraries driving the industry. Bridge the gap between academic knowledge and real-world application as we map out your transition from university studies to professional data science roles.

Lesson 1: Data Science Project Lifecycle
Lesson 2: Top 10 Most Essential Technical Skills
Lesson 3: Top 20 Python Libraries for Data Science
Lesson 4: Your Data Science Journey From University to the Industry

Module 2: From Resume to Interview Preparation

Master the job application process from start to finish.

Learn to craft a standout resume, build an impressive web portfolio showcasing your skills, and prepare thoroughly for technical and behavioral interviews. Develop effective communication strategies that will set you apart from other candidates and increase your chances of landing that first data science role.

Lesson 5: How to Improve Your Data Scientist Resume
Lesson 6: How to Build Your First Data Science Web-Portfolio
Lesson 7: How to Navigate Data Science Interviews
Lesson 8: Data Science Interview Preparation
Lesson 9: Proper Interview Communication Strategies

Module 3: Skills, Learning and Growth

Develop the mindset needed for long-term success in data science.

Explore common industry misconceptions, master essential soft skills that complement your technical abilities, and learn strategies for continuous professional development. This module equips you with the knowledge to adapt to the evolving field and advance your career beyond your first role.

Lesson 10: Uncovering Common Misconceptions About Data Science Roles
Lesson 11: Top 10 Essential Soft Skills for Data Scientists
Lesson 12: Continuous Learning and Growth

BONUS CONTENT

UNLOCK EXCLUSIVE INSIGHTS: Access my surprise bonus video packed with insider tips to accelerate your data science career!

Technical Skills Growth Strategy: Insider Tips

Testimonials

Syeda N.

"Norbert's deep expertise in Data Science and his willingness to share knowledge are truly commendable. His ability to break down complex problems into simple, actionable insights has greatly helped me understand my current position and guided me in making informed plans for the future."

Norbert M.

"I highly recommend Norbert for his exceptional mentorship services. His selfless dedication to guiding aspiring data scientists, including myself, has been invaluable in shaping my career and deepening my understanding of the field. I highly recommend him for his transformative guidance, personalized coaching and expertise."

Leo B.

"I am a Data scientist looking for a work opportunity. Working with Norbert as a mentor was an inspiring experience. His guidance was clear, supportive, and helped me grow both professionally and personally. I highly recommend him to anyone looking to be mentored as a data scientist."

Bio section

About Me

I Offer Data Science Mentorship & Online Courses

I am Norbert Eke, a Senior Data Scientist living in Zürich, Switzerland. I am an enthusiastic, motivated, intellectually curious, data-driven and goal-oriented continuous learner with expertise in machine learning and data science.

Currently I work as a Senior Data Scientist at EF Education First, where I build product recommenders, customer segmentations. I also work with RAGs and LLMs for question answering and product categorization use cases.