Hello everyone!
After watching a data science course video, the instructors highlighted that data science might not be as technically as software development. This got me wondering about the significance of data structures in this field. I want to hear your thoughts and personal experiences. Do you think having a solid understanding of data structures is crucial for success in data science, or do you believe it's less important compared to other technical skills?
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https://www.scikey.ai/slink/Mkuwg

Data Science Full Course 2024 | Data Science Course For Beginners | Learn Data Science | Intellipaat
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Data Science Full Course 2024 | Data Science Course For Beginners | Learn Data Science | Intellipaat

?Enroll for the Data Science Course: https://intellipaat.com/data-scientist-course-training/

#DataScienceFullCourse2024 #DataScienceCourseForBeginners #LearnDataScience #Intellipaat

This Data Science Full Course 2024 covers all the important skill sets required to get you a job as a Data Scientist!

This particular Data Science Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Data Science from Fundamentals To Solving Basic Data Science Problems Using Machine Learning Algorithms.

With this Data Science Full Course 2024, we will give you the Fundamental idea of what data science is, What Datasets are all about, Basic Machine Learning Algorithms, and how you can solve real-world problems like heart disease detection using Data science.

We will also help you with the trending project idea right now, which is creating a Chatbot of your own like ChatGPT using data science. We will also highlight some of the important data science interview questions.

00:00:00 - Introduction
00:02:35 - Introduction to Data Science
00:06:39 - Introduction to Data Science and Machine Learning
00:13:43 - Types of Data
00:24:08 - Components of Data Science Projects
00:36:46 - Data Science vs ML vs AI
00:48:57 - Heart Disease Prediction
01:14:39 - Types Of Machine Learning
01:40:26 - Linear Regression
02:46:13 - Hypothesis Functions
03:11:45 - Gradient Descent
04:43:49 - Advantages of Liner Regression
05:10:42 - Regression Model Evaluation Metrics
05:35:54 - Linear Regression for Classification
07:17:17 - Logistic Regression
08:14:09 - Decision Tree and Random Forest
10:20:50 - Project
11:01:43 - Data Science Interview Questions

This Data Science Course suits those who aspire to become Data Scientists

✅ Is data science a good career in 2024?
Opting for a career in data science promises not only job security but also financial rewards. As we step into 2024, this demand is expected to surge even higher. More industries have come to realize that data science holds the key to their future success.

➡️ About the Course
This data science course helps you master Python, SQL, machine learning, AI, and PowerBI. Get Data Science Certification from IITM Pravartak (An Innovation Hub of IIT Madras). Become a data scientist by taking this data science course through a 7-month online program. This online training includes hackathons, faculty sessions, 1:1 doubt clearance, and career services.

➡️Who should take this course?
✅Information Architects and Statisticians
✅Developers looking to master Machine Learning and Predictive Analytics
✅Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
✅Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).

✅ Key Features - (Course Features)
??50+ Live sessions across 7 months
??218 Hrs Self-paced Videos
??200 Hrs Project & Exercises
??Learn from IIT Madras Faculty and Industry Practitioners
??1:1 with Industry Mentors and 24*7 Support
??Resume Preparation and LinkedIn Profile Review
??Campus Immersion at IIT Madras
??No-cost EMI Option

➡️ What’s Covered in This Program? -
✅ Preparatory Session - Linux and Python
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning
✅ Supervised and Unsupervised Learning in ML
✅ Performance Metrics
✅ Deep Learning Using TensorFlow
✅ Data Science Capstone Project
✅ Business Case Studies

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