Learning data science is becoming increasingly vital in almost all sectors. With the growth of digital technologies, vast amounts of data are generated every second. Companies need this data to create new things and make better decisions.
Data scientists who can analyze hidden patterns in the information are given first preference with a lot of benefits, such as a significant salary increase, better career growth opportunities, and the chance to contribute to cutting-edge innovations.
So, by learning data science, you’ll become a superhero who can solve essential problems and help things work better!
If you are a beginner, you might have several questions, such as what data science is, whether it’s for Non-IT or IT professionals, how and where to start, how much time it will take to learn, how much salary increase I can expect for a data science job role and many more. I will address all these questions in this article.
Recommended Article: I recommend reading this article first to check in-depth What data science is and where it is used.
You’re reading the article, Learning Data Science As A Beginner: How, Where, and When To Start.
Where and How To Start Learning Data Science
What matters the most in your data science journey is your interest in data science. The rest of the doubts, such as whether you come from a non-IT background or don’t know the ABC of coding, do not matter. You can start learning today with the help of expert guidance and resources.
Let’s dive in to get a clear idea of how and what knowledge to acquire as a fresher.
1. Discover Your Interest: As I told you before interest matters, understand what excites you about data science and its applications. So that you stick to the journey of data science.
2. Learn the Basics: Always start with fundamental concepts like data, analysis, and its real-world impact.
3. Choose a Path: Most importantly, decide between data analysis, machine learning, or other specialties within data science, as this guides you on where to start, whether you’re a non-computing or computing specialist.
You’re reading the article, Learning Data Science As A Beginner: How, Where, and When To Start.
4. Learn Coding: Familiarize yourself with languages like Python and R, key for data manipulation.
5. Online Resources: Nowadays, numerous online courses are available on the Internet. You can choose them based on your preferred schedule, enabling you to effectively manage your time and work commitments.
6. Practice Projects: Apply your knowledge through small projects to develop practical skills. Many online courses offer projects for you to complete, so consider opting for these to enhance your resume.
7. Join Communities: Keep yourself active in data science communities for support and knowledge sharing.
8. Create a Portfolio: Showcase your projects on a portfolio to impress potential employers.
9. Stay Curious: Keep learning as the field evolves; curiosity is your greatest asset.
10. Network & Collaborate: Connect with mentors, peers, and professionals to grow in the field.
You’re reading the article, Learning Data Science As A Beginner: How, Where, and When To Start.
You can check out these courses: Python for Data Analytics and Masters in Data Science with Power BI to access all the facilities mentioned above in a single course. Remember, starting your data science journey is about curiosity, persistence, and continuous learning.
You’re reading the article, Learning Data Science As A Beginner: How, Where, and When To Start.
When to Start Learning Data Science
“Start Early, Succeed Sooner“
Right now, there’s a big change happening with how we use data, and those who start learning about it early have an advantage. If you begin your journey into data science early, you’ll have more time to become really good at it and be someone that companies really want to hire.
Whether you’re a beginner or have a tech background, there’s a learning path that suits you. Dive into coding, machine learning, analytics, and more – the choice is yours.
For Beginners/Non-IT Background: The best course to kick-start your data science journey is the Python for Data Analytics Certification Course. This course will help you to understand the basics of Data Science from scratch which includes Python programming, data analytic tools like Numpy, and Pandas, data visualization techniques, etc.
In this course, you’ll learn:
- Conduct basic statistical assessments,
- Craft valuable data visualizations,
- Make predictions about upcoming trends using data, and much more.
This course will not only add a certificate to your resume but also showcase the projects you successfully completed during the course.
You’re reading the article, Learning Data Science As A Beginner: How, Where, and When To Start.
For Technical Background: For those who already have experience in data science, can opt for the Masters in Data Science certification program. This course will take you to the next level in Data Science. Apart from the basics of data analytics, this course includes Machine Learning, Live Data Streaming, Reporting with Microsoft Power BI, etc.
You’re reading the article, Learning Data Science As A Beginner: How, Where, and When To Start.
By enrolling in advanced Data Science beginner certification courses, you’ll gain a deeper understanding of:
- Data Analysis,
- Machine learning to make predictions,
- Get practical practice using tools like Seaborn, PySpark, DataBricks, and much more.
This course will help you advance your data skills, leading to high-ranking positions such as Data Scientist, Big Data Engineer, Data Engineer, and more.
In summary, starting early can speed up your path to achieving your dream job. Also, if you get into the growing field of data science, you’ll be right at the front of new ideas and technology, opening up many chances in different industries.
Your determination to learn and actually do things with courses like Python for Data Analytics or the detailed Masters in Data Science With Power BI doesn’t just make you better at things but also shows future bosses how committed you are. Since data keeps getting more important for making choices, your go-getter attitude now can mean a successful and important career later on.
Hope you liked reading the article, Learning Data Science As A Beginner: How, Where, and When To Start To Make a Successful Career in 2023. Please share your thoughts in the comments section below.
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