Watch and learn Data Science Roadmap For 2026 | Data Scientist Skills, Resume, Roles & Responsibilities |Simplilearn instructor Simplilearn. This full video course has a total duration of 31:03 minutes with detailed practical demonstrations. Follow along to build your skills today on TutorTube.
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Course Description & Lesson Notes
Official Video Description:
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This video on Data Science Roadmap 2026 by Simplilearn, is designed to help you build industry-ready skills aligned with how companies will actually hire in the coming years. It begins by explaining why 2026 is a turning point for data scientists, driven by automation, AI-assisted analytics, and business-first decision models. You’ll then cover the core foundations, statistics, Python, SQL, data cleaning, and exploratory analysis, before moving into advanced capabilities like machine learning, feature engineering, model evaluation, and storytelling with data. The roadmap highlights tools and platforms employers expect, including cloud analytics, BI tools, and version control, followed by a portfolio-first strategy that shows how hiring managers evaluate real projects over certificates
Following are the topics covered in this tutorial on Data Science roadmap 2026:
00:00:00 Introduction to Data Science Roadmap 2026
00:02:13 Why 2026 is a game-changer for Data Scientists
00:03:55 Core Foundations You Must Master
00:09:41 Advanced Skills That Will Set You Apart
00:15:59 Tools and Platforms to Master
00:17:51 Build a Portfolio That Will Get You Hired
00:22:12 Choose Your Data Science Career Path
00:25:36 Land the Job: Resume, Interview and Salary Tips
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➡️ About Professional Certificate in Data Science and Generative AI
This Professional Certificate in Data Science and Generative Al covers all essentials topics like Python, Machine Learning, Deep learning, NLP, Data Visualization, Generative Al, ChatGPT and more using an interactive learning approach with sessions led by global Industry experts.
Key Features
✅ Earn a program completion certificate from Simplilearn, in partnership with Purdue University
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✅ Industry-recognized IBM certificates for IBM courses
✅ Attend live interactive classes led by Industry experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition
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🎓 Lesson Overview & Learning Outcomes:
Welcome to the step-by-step video guide for Data Science Roadmap For 2026 | Data Scientist Skills, Resume, Roles & Responsibilities |Simplilearn taught by Simplilearn. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.
💡 Key Topics Covered in This Course:
- Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Data Science Roadmap For 2026 | Data Scientist Skills, Resume, Roles & Responsibilities |Simplilearn.
- Step-by-Step Practical Demonstration: Hands-on implementation guided by Simplilearn with real-world examples.
- Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
- Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.
📋 Recommended Prerequisites & Study Notes:
No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.
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