ruhiparveen thumbnail
Posted: 9 months ago
#1

hi all i am Ruhi i want to learn that how can i learn data science ?

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khushnuma123 thumbnail
Posted: 9 months ago
#2
To learn data science, start with foundational concepts in statistics, mathematics, and programming (Python or R). Focus on topics like data analysis, machine learning, and data visualization. Work on hands-on projects using real datasets from various online platforms to build a portfolio. Join online communities and forums to connect with others, share knowledge, and seek advice. Read books and research papers to deepen your understanding. Finally, stay updated with industry trends and tools, as data science is a rapidly evolving field. Consistent practice and curiosity are essential for success!
priyankaraj22 thumbnail
Posted: 9 months ago
#3
To learn data science, start by building a strong foundation in mathematics, statistics and programming (Python, R). Explore online courses, tutorials, and platforms like Coursera, edX or Uncodemy for structured learning. Practice with real datasets, learn tools like SQL, Tableau, and machine learning algorithms. Engage in projects and join communities to stay updated with trends.
shivanshi770 thumbnail
Posted: 9 months ago
#4
Hey Ruhi! It’s great that you want to learn data science! Here’s how you can get started: Online Courses: Check out platforms like Coursera, edX, or Uncodemy for beginner-friendly data science courses. They often cover the basics and include hands-on projects. Learn Programming: Get comfortable with Python or R. There are tons of free resources and tutorials online to help you learn the basics. Statistics and Mathematics: Brush up on your stats and math skills. Understanding these concepts is crucial for data analysis. Practice with Projects: Start working on small projects or datasets to apply what you’ve learned. Websites like Kaggle offer datasets and challenges you can explore. Join a Community: Connect with other learners or professionals through online forums, social media groups, or local meetups. It’s a great way to share knowledge and get support. Read Books and Blogs: Explore books on data science and follow blogs or YouTube channels that share insights and tutorials. Stay Curious: Always be eager to learn! Data science is a vast field, and there’s always something new to explore. Remember, it’s all about taking small steps and building your knowledge over time. You've got this!
benisfroms thumbnail
Explorer Thumbnail
Posted: 9 months ago
#5

Hi Ruhi! It's great that you're interested in learning data science. To get started, I’d recommend diving into some foundational courses in statistics, programming (especially Python or R), and machine learning. Platforms like Coursera, edX, and Udemy offer excellent beginner to advanced courses. Working on real-world projects is crucial, too, so try to apply what you learn by analysing datasets on platforms like Kaggle. This hands-on experience will help solidify your knowledge. Also, improving sound quality is a great example of how details can make a big difference in learning—like maintaining clean speakers for clearer audio. You can check out tips on that here: https://watereject.top. Best of luck on your data science journey!

Edited by benisfroms - 8 months ago
archijain931 thumbnail
Posted: 9 months ago
#6


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jeniss thumbnail
Posted: 7 months ago
#7
To learn data science and prepare for the Cisco 700-250 exam, start by gaining foundational knowledge in both areas. For data science, begin with learning programming languages like Python or R, and understand key concepts in statistics, data manipulation, and machine learning. Utilize online courses, books, and tutorials to build hands-on experience with data analysis and visualization tools like Pandas, NumPy, and Matplotlib. For the Cisco 700-250 exam, which focuses on the Cisco DevNet Associate certification, study the core concepts of DevOps, automation, and API usage in networking. Use https://www.dumpscafe.com study materials, practice exams, and online forums to familiarize yourself with the exam structure and key topics. Consistent practice and practical experience in both data science and networking will help you develop the skills needed for success.
Edited by jeniss - 7 months ago
royasmita291 thumbnail
Posted: 6 months ago
#8

Data science involve learning Python, SQL, Excel, PowerBI, Tableau, data analysis, and machine learning. If you have interest in math, statistics, analytics, coding, and data visualization you can choose to build a career in data science.

I want to tell you that you can follow Harvard and Microsoft Data science courses and trainings.

Data-driven jobs have been growing recently. You can build a solid career in data science but before that you need to Understand Your Industrial and Soft Skills, choose the beginner Level Specialization, build a Strong Business Portfolio and gain more practical exposure.

aiouassignments thumbnail
Posted: 6 months ago
#9
from youtube you can learn everything
martinemma thumbnail
Posted: 6 months ago
#10

It is up to you how quickly you pick things up. Learning data science involves studying machine learning and Python statistics through projects, online courses, and hands-on experience.

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