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In this video from Simplilearn on Fastest Way to Learn Data Science,we delve into the essential roles in data science, explore the rising demand for data scientists, and discuss the key reasons behind this growth. We’ll guide you through the crucial skills you need to become a data scientist, including programming languages like Python and R, essential tools, and technologies. Our comprehensive learning roadmap will show you how to acquire these skills effectively, detailing the time commitment and best resources for learning. Additionally, we cover extra tools and resources that can enhance your learning experience. Whether you’re a beginner or looking to advance your career, this video is packed with valuable insights to help you master data science quickly.
00:00 – Introduction
00:58 – What is Data Science?
01:32 – Data Scientist Life Cycle
02:26 – Essential Skills Required
03:42 – Month 1 – Plan
05:56 – Month 2 – Plan
08:49 – Additional Tools and Technologies
✅ How to quickly learn data science?
To quickly learn data science, focus on mastering key skills like Python, SQL, and statistics. Follow a structured roadmap, starting with programming basics, then move on to data manipulation, machine learning, and data visualization. Utilize online courses, books, and practical projects to solidify your understanding and gain hands-on experience.
✅ Can data science be self-taught?
While it’s possible to self-teach data science, taking a structured course can provide a more comprehensive and guided learning experience. Courses often offer expert instruction, hands-on projects, and a clear curriculum, helping you learn faster and more efficiently.
✅ Can a beginner do data science?
Yes, a beginner can start learning data science! With the right resources and a structured learning plan, anyone can build the necessary skills in programming, statistics, and data analysis to pursue a career in data science.
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
✅ You can find the slides here: https://www.slideshare.net/slideshow/fastest-way-to-learn-data-science-how-to-learn-data-science-data-science-roadmap-simplilearn/271142836
#DataScience #DataScienceRoadmap #DataScientistJob #DataScientist #2024 #Simplilearn
➡️ About Data Science course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.
✅ Key Features
– Simplilearn’s JobAssist helps you get noticed by top hiring companies
– Masterclasses from IBM experts
– Dedicated live sessions by faculty of industry experts
– Industry-recognized Data Scientist Master’s certificate from Simplilearn
– Industry-recognized IBM certifications for IBM courses
– Ask-Me-Anything (AMA) sessions with IBM leadership
– Capstone from 3 domains and 25+ projects
– Exclusive hackathons conducted by IBM
– Lifetime access to self-paced learning content
– Program crafted to initiate your journey as a Data Scientist
– Integrated labs for hands-on learning experience
✅ Skills Covered
– Generative AI
– Prompt Engineering
– ChatGPT
– Exploratory Data Analysis
– Descriptive Statistics
– Inferential Statistics
– Explainable AI
– Conversational AI
– Large Language Models
– Model Building and Finetuning
– Ensemble Learning
– Data Visualization
– Database Management
👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=30July2024HowToLearnDataScience&utm_medium=Description&utm_source=youtube
source
date: 2024-07-30 14:30:20
duration: 00:10:34
author: UCsvqVGtbbyHaMoevxPAq9Fg
Here is a 300-word summary of the transcript:
Simplilearn’s video presentation on the fastest way to learn data science provides a roadmap for individuals to learn data science in just 2 months. The video emphasizes the growing demand for data science professionals, who can extract insights from large amounts of data to make informed business decisions.
The video outlines a structured approach to learning data science, which includes:
1. Understanding the data scientist’s life cycle, which involves problem identification, data collection, data cleaning, exploratory data analysis, model building, model evaluation, and deployment.
2. Identifying the essential skills required for data science, including programming languages (Python and R), data visualization libraries (Matplotlib and Cabor), and machine learning algorithms.
The video then provides a 2-month plan to learn data science, which includes:
* Week 1: Learning Python basics and data manipulation
* Week 2: Mathematics and statistics, including linear algebra, probability, and descriptive statistics
* Week 3: Data cleaning and manipulation using Pandas
* Week 4: Learning data visualization and machine learning algorithms
The video also provides resources and tools for learning data science, including Kaggle, GitHub, and Google Collab. By following this roadmap, individuals can gain the skills and knowledge needed to become a data scientist and start a successful career in this field.
