Proper Roadmap To Follow My Udemy Courses For Various Job Roles

Summary

Krish Naak's YouTube video offers a comprehensive roadmap for aspiring data analytics professionals. He outlines key roles like data analyst, scientist, big data engineer, and more, emphasizing the necessity of Python and DSA. Krish introduces his Udemy courses, covering Python, DSA, ML, DL, NLP, and Mlops, tailored for beginners to experienced. He also mentions upcoming courses on computer vision and generative AI, promising practical projects and live classes to enhance learning.

Takeaways

• 🎯 Krish Naak discusses a comprehensive roadmap to crack different roles in the data analytics industry, such as data analyst, data scientist, and machine learning engineer.
• 📚 Krish provides a structured guide for learners, highlighting his Udemy courses and free YouTube content for those looking to follow a step-by-step learning path.
• 💻 Python is emphasized as a must-learn programming language, especially for technical roles in the data analytics field, along with data structures and algorithms (DSA).
• 🧠 Krish highlights several key roles in the data industry, including data analyst, data scientist, big data engineer, machine learning engineer, NLP engineer, and computer vision engineer.
• 📊 For non-technical backgrounds, Krish recommends focusing on roles like data analyst, which require knowledge of statistics, Power BI, SQL, and other reporting tools.
• 🚀 For those targeting data science roles, Krish emphasizes learning machine learning, deep learning, NLP, and computer vision through his courses.
• 💼 Krish mentions that many job interviews for product-based companies require DSA skills, making it a critical learning point for learners.
• 🎓 His Udemy courses are designed to help students crack job interviews and focus on practical implementation, with many having received excellent feedback and ratings.
• 🛠️ Krish is working on new courses, including MLOps (set to release soon), and plans for a computer vision course in the near future.
• 🌐 Krish also offers free live classes on his platform, where learners can access recorded videos and workshops to further enhance their skills.

Q & A

What is the main focus of the video?

The main focus of the video is to provide a comprehensive roadmap for different roles in the data analytics industry, such as data analyst, data scientist, big data engineer, and more. The speaker also outlines the relevant Udemy courses to follow for each role.

What roles are discussed in the roadmap for the data analytics industry?

The roles discussed include Data Analyst, Data Scientist, Big Data Engineer, Business Analyst, Machine Learning Engineer, NLP Engineer, and Computer Vision Engineer.

Why does the speaker emphasize Python over other programming languages?

The speaker emphasizes Python because it is widely used and versatile across different roles in the data analytics industry. Python's popularity and support for various libraries make it essential for technical roles like Data Scientist and Machine Learning Engineer.

What course has recently been launched, and what feedback has it received?

The speaker recently launched a Python with Data Structures and Algorithms (DSA) course. The course has received excellent feedback with over 4,000 students and a 4.8 rating, highlighting its comprehensive coverage of DSA concepts using Python.

What are some key skills required for a Data Analyst role?

For a Data Analyst role, key skills include knowledge of statistics, Power BI, SQL, Snowflake, and reporting tools. Python and Exploratory Data Analysis (EDA) are also essential.

What is the recommended course for someone aiming to become a Data Scientist?

The recommended course for aspiring Data Scientists is the 'ML DL NLP' bootcamp, which covers machine learning, deep learning, and NLP in detail. The course has over 90 hours of content and a 4.7 rating.

How does the speaker suggest learners from non-technical backgrounds should start?

For learners from non-technical backgrounds, the speaker suggests starting with the Data Analyst role, as it involves easier-to-learn tools like SQL, Power BI, and basic Python. The focus is more on data handling and visualization rather than complex algorithms.

What are some upcoming courses the speaker is working on?

The speaker is working on a computer vision course that will focus on object detection and end-to-end projects. Additionally, a course on MLOps, which will cover deployment and tools like MLflow, BentoML, and Airflow, is expected to be launched by October 15th.

What is the purpose of the MLOps course?

The MLOps course is designed to help learners understand the deployment of machine learning models and manage end-to-end projects. It will cover various MLOps tools like MLflow, BentoML, DVC, and Airflow, ensuring comprehensive knowledge of project deployment and monitoring.

How can learners access free live classes and workshops?

Learners can access free live classes and workshops by registering on the speaker’s platform, 'Krishna Academy.' The revenue from Udemy courses supports these free workshops, which are held every weekend.