Check out the 4 Best Data Science Course Recommendations for Beginners
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Data science career is a hot job among millennials in 2024.
Quoting Analytics Insight that a career in data science is a very good career with extraordinary opportunities.
Supported by high demand in several countries, competitive salaries and many facilities, it is the most promising career in the digital industry today.
It’s no wonder that the Harvard Business Review calls data science ” The Sexiest Job of the 21st Century “, the most promising career according to LinkedIn and the best job in America according to Glassdoor .
Jobs related to data science such as Data Analyst, Data Scientist and Data Engineer do not go far from managing, mining and cleaning unstructured data and preparing it for practical use.
The data is then used to provide results that impact business outcomes.
The United States Bureau of Labor Statistics predicts that the demand for the data science profession will increase by 27.9% through 2026.
This condition indicates that the data science profession is one of the most popular professions in today’s digital era in line with the data-driven concept .
It is undeniable that this profession is also in demand in Indonesia with various companies starting to look for suitable candidates to fill data science positions .
If you are a beginner and want to have a career in the world of data science , then the data science course is one of the solutions that you can choose.
Moreover, professions in the realm of data science are also not picky about specific educational backgrounds.
Whatever it is, everything can be friends. Moreover, studying data science is not only popular for people in the IT field but also attracts attention from people outside the IT department.
In the following, I will share information about recommendations for data science courses that you can use as references to learn skills related to data science .
Are you guys curious? Come on, see more in the following article!
1. Data Science Specialization — JHU @ Coursera
The first recommended data science course is Data Science Specialization — JHU @ Coursera . Rakamin Academy collaborates with experts who graduated from the Master of Education from Top Global Universities to improve the quality of learning.
The curriculum has also been designed so that participants are easy to learn and follow even for NON-IT though. Each participant will also be guided from scratch.
Here you are given 62 learning sessions plus 3 months of job guarantee programs, 9 industry real case portfolios , study consultations with expert tutors , career preparation classes and get the opportunity of a virtual internship program .
So what are you waiting for, register immediately and visit the official website of Data Science Specialization — JHU @ Coursera for more information about data science courses.
Or you want to take a free data scientist course from Data Science Specialization — JHU @ Coursera,
2. DQLabs
DQLab is a data science course institution that also provides opportunities for those of you who want to learn data science, both free and paid. There are three programming languages provided by DQLab for learning, namely R, Python, and SQL.
The advantage of the data science course provided by DQLab is the live code editor feature . This feature allows users to learn coding directly without the need to install additional software . So it can be done directly to find out whether the code we are working on is right or wrong and directly integrated with the programming language that is being studied.
3. Binar Academy
The third recommendation came from Binar Academy.
Here participants are given the opportunity to learn how to become someone who understands statistical concepts in data science , wants to master the Python programming language for database operations and SQL and understands deep learning and machine learning from data.
The data science course held by Binar Academy lasts 4 months from layman to understanding.
The advantages of the Binar Academy data science course are studying 3 times a week with the facilitator getting challenges in each chapter studied by the course participants, then getting feedback from the facilitator related to the learning outcomes that have been carried out, then followed by sprint review, job connect, graduation and final presentation .
4. Applied Data Science with Python Specialization — UMich @ Coursera
The fourth recommendation comes from Applied Data Science with Python Specialization — UMich @ Coursera. In this course you will learn to become a professional Data Analyst or Data Scientist for 12-14 weeks.
Course participants will get hands-on learning experience from instructors and mentors in the field of data science who have experience working in leading multinational companies.
In addition, Purwadhika also provides career support and work connection facilities to each alumni of the job connector program with hiring partners throughout Asia.
5. Algorithm Data Science School
The final recommendation comes from Algorithm Data Science School. There are three classes or specializations that you can choose in line with data science topics .
There are data visualization, machine learning and data analytics . In data visualization , course participants will learn data visualization techniques.
Starting from the process of pre-processing data, making various types of plots, selecting plots and collaborating with stakeholders through a dashboard that displays data visualization.
Meanwhile, machine learning focuses more on the balance between the application of machine learning in solving business problems and the mathematical theory behind the use of machine learning . Then data analytics goes deeper into the Python and SQL programming languages for data analysis .
These three specializations each have a final module and project with each having a different number of meetings.
Learning activities will be held online and using Zoom Live Streaming . There are also schedule options to choose from so you can be flexible according to your needs.
So, those are recommendations for data science courses that can be used as references. Hopefully it’s useful.