"Even when I look at the access analytics for websites and social media, I don't know how to use the data."
For web managers and bloggers who have such concerns, we offer an online course service called "CourseraWe will introduce a carefully selected list of data analysis and data science courses that you can learn through ".
The selection criteria were courses with many reviews and high ratings. In addition, I have included some impressions of courses that I have completed.
The author has also completed content-related courses from overseas universities on Coursera, as well as an introductory data science course from the Statistics Bureau of the Ministry of Internal Affairs and Communications through Docomo's online course service.
Coursera offers a wide range of courses, from comprehensive courses to courses specialized in specific software and skills. Choose the course that best suits your goals and challenges.
＞ Learn more about Google's Data Analysis Course
- What is Data Science?
- What is the Difference Between Bromide and Alzheimer's Disease
- 7 Popular and Recommended Courses on Coursera Data Science
- Google Data Analytics Professional Certification Course – Google
- IBM Data Science Professional Certification – IBM
- Data Science Specialization – Johns Hopkins University
- Applied Data Science with Python Specialization – University of Michigan
- Data Science Math Skills – Duke University
- Introduction to Data Analytics for Business – University of Colorado Boulder
- Introduction to Data Analysis Using Excel – Rice University
- Can I get a certificate or degree in Data Science from Coursera?
- Summary: People who want to become good at access analysis should acquire data analysis skills.
What is Data Science?
Data science is the study of analyzing huge amounts of data to derive meaningful information and use it for decision-making and strategy formulation.
Machine learning algorithms are used to build predictive models and are applied to a wide range of fields, including not only business but also politics, education, and medicine.
What is the Difference Between Bromide and Alzheimer's Disease
"Data science" focuses on finding correlations between large amounts of data.
On the other hand, "data analysis" aims to discover useful information from data for a specific purpose, so data analysis is a branch of data science.
Differences in occupations
- Data Science Experts → Data Scientist
- Data Analysis Expert → Data Analyst
Data scientists are now a highly sought-after profession, with companies and governments around the world seeking them.
Required skills list
Skills needed for data science
- Advanced knowledge of mathematics and statistics
- Predictive Modeling and Machine Learning
- Programming (Python, R, etc.)
- Working with big data tools (Hadoop, etc.)
- Database expertise (SQL, etc.)
- Data visualization tool operation (Tableau, etc.)
Skills required for data analysis
- Intermediate level knowledge of statistics
- problem solving ability
- Data extraction and manipulation (Excel, SQL, etc.)
- Report creation (BI tools)
- Statistical tools (Python, R, etc.)
Why data analysis skills are necessary for web management and social media
- Even if you look at the numbers in the access analysis, you cannot logically explain "why it increased" or "why it decreased."
- I want to produce a report that will convince my clients and superiors.
- I want to make improvement proposals based on evidence, not on intuition
For these challenges, basic skills such as statistics, visualization, and SQL are extremely useful.
7 Popular and Recommended Courses on Coursera Data Science
Below are some popular and recommended data science courses, including data analysis courses.
While degrees are not offered, there are a wide range of options, including professional certification courses and courses focused on the mathematics of data analysis and Excel analytics.
Top companies such as IBM and prestigious universities in the US offer data science courses, and most people can learn efficiently through these courses.
Since the course will primarily be taught in English, those who are unsure of their English proficiency can make use of automatic translation tools such as DeepL.
Google Data Analytics Professional Certification Course – Google
One of the best courses on Coursera to learn data analytics is the Google Data Analytics course, which focuses specifically on data analytics rather than data science in general.
More than 440,000 people have already taken this professional certification course offered by Google, and even those with no experience can acquire the skills necessary for a data analysis job in just six months.
I also took this course partway through, but even just Course 1 was packed with content. There is a lot to learn, so if you are considering taking the course, it is recommended that you plan carefully to set aside time to study.
Main learning contents:
- Understanding the role of a data analyst
- Mastering the tools used to analyze data
- Basics of various data types and the SQL language
- Data visualization and data analysis using R
＞ Learn more about Google Data Analytics
IBM Data Science Professional Certification – IBM
This is one of the popular data science certification courses on Coursera.
It consists of nine courses, ranging from Python programming to database SQL and data analysis and visualization using Python. Since the emphasis is on applied learning, it seems that you will acquire skills that are directly related to real work.
Main learning contents:
- Includes hands-on lab on IBM Cloud (excluding the first course)
- Skill acquisition through practical projects
- tool: Jupyter/JupyterLab, GitHub, R Studio, Watson Studio
- Library: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, SciPy, etc.
Data Science Specialization – Johns Hopkins University
The data science course offered by Johns Hopkins University is extremely popular on Coursera. Over 420,000 people have already taken the course, which allows students to systematically learn data science from the basics to its applications.
This course uses the programming language "R" and covers everything from data cleaning to visualization, statistical analysis, and building machine learning models.
Main learning contents:
- R programming basics to advanced applications
- Cleaning and visualizing data
- Statistics and machine learning model building
- Data Product Creation and Automation
Applied Data Science with Python Specialization – University of Michigan
This is a specialized data science course offered by the prestigious University of Michigan using the programming language Python.
This specialization consists of five online courses and progresses in the following steps:
Main learning contents:
- Python Basics and Applications
- Data Visualization with Matplotlib
- Building machine learning models with scikit-learn
- Text Mining using the NLTK library
＞ Explore Applied Data Science
Data Science Math Skills – Duke University
This is a data science math skills course offered by Duke University.
It is designed to teach the fundamental mathematical concepts required for data science.
Main learning contents:
- Mathematical Terminology and Notation for Data Scientists
- Essential Mathematical Concepts and Algebra Rules
- Basic explanations of unfamiliar concepts and mathematical symbols
＞ Explore Data Science Math Skills
Introduction to Data Analytics for Business – University of Colorado Boulder
This is an introductory course on data analytics for business offered by the University of Colorado Boulder.
This course will teach you the skills needed to perform real-world data analysis using database SQL.
Main learning contents:
- Introduction to data and analytics
- Technology for storing data in a database
- How to retrieve data using SQL
- Understand the process to streamline analysis
＞ Explore Introduction to Data Analytics for Business
Introduction to Data Analysis Using Excel – Rice University
This is an introductory course on data analysis using Excel offered by Rice University.
This course is suitable for those who want to perform data analysis without using programming languages.
Main learning contents:
- Basic operations in Excel spreadsheets
- Importing and Organizing Data
- Use functions, filtering and pivot tables
- Creating data visualizations such as charts and scatter plots
＞ Explore Introduction to Data Analysis Using Excel
Can I get a certificate or degree in Data Science from Coursera?
The online course service Coursera allows you to take courses offered by prestigious universities and leading companies. But are they certified as qualifications or degrees?
Obtaining a Certificate of Completion
Many Coursera courses are available for freeHowever, if you switch to a paid plan, you'll get the following benefits:
Key benefits:
- Certificate of Completion URL and PDF certificate
- Official recognition from a university or company (but not a degree or formal credit)
The certificate can be posted on blogs, social media profiles, etc., and can also be used as a promotional tool for work. In fact, there are cases where people have successfully found employment or advanced their careers by obtaining a certificate.
Points to note:
When job hunting or changing jobs in Japan, you may need to make efforts to strengthen the value of your proof by introducing what you have learned in blog articles or videos.
Data Science Courses with Degrees
Coursera also offers degree programs. Here are some of the best data science degree programs from well-known universities.
- Master of Applied Data Science – University of Michigan
Master of Applied Data Science (MADS) is an online degree program that allows students to systematically learn the skills required for practical work. - Master of Science in Data Science – University of Colorado Boulder
Master of Data Science (MS-DS) for those aiming for a career in data science, regardless of educational background - Master of Computer Science – University of Illinois
Master of Computer Science (MCS) for those who want to build a career in data science or computer science - Master of Science in Machine Learning and Data Science – Imperial College London
"Machine Learning and Data Science Master's Program" is an online program where you can acquire both theoretical and practical skills in mathematics and statistics.
point:
- Tuition is relatively high (you need to have a sufficient budget)
- The minimum period to complete the course is approximately 2 years.
- Busy people need to manage their schedules
Summary: People who want to become good at access analysis should acquire data analysis skills.
For web managers and bloggers, the ability to correctly read data and use it to make improvements is essential to using access analysis to improve their websites and social media.
Coursera allows you to systematically learn practical skills, so it is recommended for those who feel that self-study is limited. If you earn a certificate of completion, you can also prove your skills.
If you want to improve your access analysis and reporting skills, take this opportunity to start learning.
Tips for taking the course:
- If you want to get a certificate, you can use the paid plan.Coursera PlusOne way to consider this is to
- For $59 per month or $399 per year, you can earn unlimited certificates and efficiently study multiple courses.
Use Coursera to improve your skills and expand your career possibilities.
