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Introduction
The entire planet is going digitized. The availability of data and information for any project imaginable will increase as the world gets more linked. Data is frequently presented illogically and must be mined in order to make any sense. Data science is the instrument that makes it possible to turn data into information. Additionally, data science is a useful tool.
In addition to being financially rewarding, a career in data science also enables you to tackle some of the most fascinating issues facing the world today.
What is Data Science (Really)?
Data science is a tool to make the world a little better. A tool for having fun with data while bringing value to the world and its visitors.
Data science applications are relevant to every profession and enable critical business decisions. Data Science incorporates mathematics, statistics, information technology, and computer science and uses algorithms to draw appropriate conclusions. Several steps are often included in data science procedures. These include:
- Data preparation
- Formulation of data system algorithms
- Data analysis
- Formulation of data-driven solutions
- Presentation of solutions for appropriate decision making
Data science is applying statistical principles and a digital phenomenon that deals with quantitative and qualitative data.
How Do You Choose The Correct Data Science Certification Program?
The world is increasingly digital, and the use of data science will continue to increase. The usage of data science will keep growing as the world becomes more digitized. Applying data science skills can create major career shifts or perhaps establish a new business. Numerous data science certificates exist that provide you the chance to learn things that will make you more relevant in the profession. You can benefit your company or organization by taking a data science course online or on-site.
Choosing the right data science course requires several decision points:
- Decide on your Area of Concentration: Data scientists add value to firms at many levels of the value chain. Data engineers and data analysts play important supporting roles for data scientists. Which course is best for you will depend on your clear career goals.
- Determine the Cost-Benefit Ratio: Free or paid? There are plenty of great free courses to help you build the skills you need. The usage of data science will keep growing as the world becomes more digitized. However, psychological studies have revealed that consumers value things more when they pay more for them. When told the placebo tablet was pricey, participants' chances of experiencing pain relief increased by twofold. People who paid more for tickets had a better chance of seeing the show. Investing in yourself often pays off.
Resources You Should Use When Learning
When learning data science online, it's crucial to intuitively understand what you're actually doing and get enough practice applying data science to unique problems.
For every beginning, the following two reading materials are suggested in addition to the courses:
Introduction to Statistical Learning - available for free is one of the most recommended books for beginners in data science. It explains the basics of machine learning and how it all works behind the scenes.
Applied Predictive Modeling - A breakdown of the entire modeling process on real-world datasets with constructive tips at every step.
These two textbooks are incredibly valuable and provide a much better foundation than just taking the courses alone. The first book is highly effective at teaching the intuition behind much of the data science process, and if you can understand almost everything, then you're better off than most budding data scientists.
Ten Best Data Science Courses for Data Scientists in 2022
1. IBM Data Science Professional Certificate On Coursera
This online data science course provides data scientists with an introduction to data science, methodology, hands-on skills, importing and cleaning datasets, evaluating machine learning models, and other hands-on data management projects. Applied data science learning projects include several hands-on labs in the IBM cloud with tools, libraries, and projects such as random album generator, best classifier model, interactive map, and many more.
2. Python For A Data Science Project At edX
edX offers one of the best courses with valuable and practical data science projects. Data scientists can demonstrate their Python and data skills by creating a dashboard for KPIs from a specific data set. Two modules offer an introduction to web scraping and a final data management project analyzing stock performance and creating a dashboard with peer assignments.
3. Data science: Master Machine Learning Without Coding
This is one of the popular data science courses with data science projects where you will learn the fundamentals of data science and machine learning with Rapidminer, datasets, and solutions. Data scientists can predict home prices using regression algorithms, identify potential customers using classification algorithms, and many other data management projects.
4. Master's Program Data Scientist at Simplilearn
This online data science course offers over 25 industry-relevant data science projects from Amazon, Walmart, Mercedes Benz, and many others. Simplilearn provides one of the best data management projects with online training using R, Python, Machine Learning, Tableau, and Spark technologies.
5. Introduction to Data Science Specialization on Coursera
Coursera provides one of the best online data science courses with hands-on projects to complete your data science specialization and earn a valuable certificate. Data scientists can enroll in one of the best courses and get hands-on projects with simple data science tools like JupyterLab, R Studio, GitHub, and Watson Studio.
6. Machine Learning Andrew Ng
This is probably the most popular machine learning course provided by Stanford University, and Coursera also provides certification. You will be tested on each topic you learn in this course, and you will be awarded a certificate based on your completion and final score.
This course is free, but you have to pay for the certificates if you want them. Although it provides value to you as a developer, you have a good understanding of the math behind any machine learning algorithms you come up with.
Andrew Ng takes you through a tutorial using Octave, an excellent tool to test your algorithm before running it on your project.
7. Data Science A-Z: Real-life Data Science Exercises Included on udemy
Udemy provides knowledge and hands-on projects for data scientists to gain a deeper understanding of data management projects. It offers data science projects that are extremely practical for enhancing customer engagement in the future. Hands-on exercises include tools like SQL, SSIS, Tableau, Greti, and many more. It helps data scientists create a robust geodemographic segmentation model and much more.
8. Data Science for Beginners [MyDataCareer]
This is another fantastic course to learn Data Science from scratch. If you are considering starting a career in Data Science, this course is for you. In this course, you will discover the types of problems, methods/techniques, and roles available in Data Science through examples and activities.
There's no prerequisite, which means you can get started even if you're hearing about Data Science for the first time. The aim of 'Data Science for Beginners' is to introduce you to Data Science methodology, concepts, programming languages, etc.
You'll get an overview of machine learning and finally show you a data science tool like GitHub that lets you collaborate with colleagues.
9. Data Science: Probability on edX
One of the well-known online data science courses provides a deep understanding of essential concepts in probability theory such as random variables and independence, performing Monte Carlo simulation, central limit theorem, and many more through several hands-on data science projects.
10. R Programming A-Z: R For Data Science With Real Exercises!
Another well-liked programming language for data science is R, and this course gives a useful introduction to R from a data science standpoint.
R has a steep learning curve, nevertheless, and students frequently feel overwhelmed.
In actuality, this training is step-by-step. We build on our prior knowledge and go a step farther in each new tutorial.
Conclusion
That concludes our discussion of some of the top programs for Data Scientists in 2022. With many exciting opportunities to tackle some of the most fascinating problems in the world, data science is a very lucrative career.
If you have a passion for data analysis and problem-solving and want to change your career and the world, now is the right time to make a move.
