As our lives become increasingly intertwined with technology, it’s no surprise that data analytics courses are on the rise.
These courses teach students how to collect, process and analyze data, equipping them with statistics and machine learning skills that are highly sought-after by employers.
Whether you’re looking to change careers or boost your existing one, a data analytics course could be the answer.
The field of data analytics is vast and ever-growing. As such, the format of data analytics courses can vary greatly.
What’s Covered in an Analytics Course?
Some common topics that are covered in data analytics courses include: mining data for insights, building predictive models, and developing ways to effectively visualize data.
However, due to the constantly changing landscape of data analytics, it is difficult to say which topics will be covered in any given course.
The availability of data analytics courses has increased in recent years, as the demand for data analysts has grown. There are a variety of data analytics courses available, from introductory courses to more specialized ones.
Data analytics courses are best for people who are comfortable with computers and have some experience working with data. Anyone looking to get into the data field, whether as a data analyst, data scientist, or data specialist, should consider taking data analytics courses.
Data analytics courses can provide students with the skills and knowledge necessary to be successful in the field. The courses can also help students decide which area of data they would like to pursue.
Students who complete data analytics courses often have an advantage over those who do not when competing for jobs.
Delivery Methods for Data Analytics Course
Some data analytics courses are even offered online. With so many options available, there is sure to be a data analytics course that meets your needs.
The cost of data analytics courses can vary depending on the length and course content. Some schools may offer data analytics courses for free through online providers like Udemy and Coursera, while others may charge a few hundred dollars for the course.
Data analytics courses typically range from $500-$5,000.
Many data analytics courses are affordable and provide students with the skills they need to pursue a career in the field.
It’s important to dispel any myths about the time commitment of data analytics courses. For those just looking to get their feet wet, there are plenty of online courses that can be completed in a matter of weeks.
Most data analytics courses only require a few hours per week to complete. The majority of the work is done independently, so students can complete the coursework on their own time.
Part-time data analytics courses typically last between six and eight weeks, while full-time courses last between four and six months. However, if you’re looking to earn a more comprehensive certification or degree, the time commitment will be much greater.
Data Analytics Course Examples
There are many reasons why someone would want to get certified in their field. For some, it is required by their employer.
For others, it is a way to show their dedication to their chosen profession. And still others see it as a way to improve their marketability and earn a higher salary.
But not everyone can afford to pay for a certification course or bootcamp.
Fortunately, there are many free and low-cost courses available that can provide the same benefits.
Some of the reputable online resources that offer data analytics courses include Coursera, Udacity, and edX. edX offers a self-paced introductory course on data analytics that covers topics like SQL, Excel, and Tableau.
Udacity offers courses on data visualization, SQL, and machine learning. If you’re looking for something a little more in-depth, Coursera offers a specialization in data analytics that includes multiple courses. Each specialization culminates in a capstone project, which gives you the chance to put your new skills to use on real data sets.
The courses are self-paced, and there is a fee for the certification upon completion. These courses can help you learn the basics of data analytics and get started in your career.
Data Analytics Courses on Udacity
Data Analysis and Visualization
- Duration: 4 months
- Cost: Free
- Level: Intermediate
- Offered by: Georgia Tech
- Format: Online
- Who should get this certification: Students should have programming experience and mathematics knowledge of basic linear algebra, calculus, and introductory probability. No background in machine learning is required.
- Course description: Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.
SQL for Data Analysis
- Duration: 1 month
- Cost: Free
- Level: Intermediate
- Offered by: Mode
- Format: Online
- Who should get this certification: Students who want to enhance their skill set and boost their hireability through innovative, independent learning.
- Course description: In this course, you’ll learn to use Structured Query Language (SQL) to extract and analyze data stored in databases. You’ll first learn to extract data, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, temp tables, and window functions. By the end of the course, you’ll be able to write efficient SQL queries to successfully handle a variety of data analysis tasks.
Data Analytics Courses on Coursera
Google Data Analytics Professional Certificate
- Duration: 3-6 months
- Cost: Coursera subscription of $39/month.
- Level: Beginner
- Offered by: Google
- Format: Online
- Who should get this certification: Candidates interested in entering the data analyst field. Job seekers looking for a new career.
- Course description: Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
Applied Data Science with Python Specialization
- Duration: 5 months
- Cost: Coursera subscription of $39/month.
- Level: Intermediate
- Offered by: University of Michigan
- Format: Online
- Who should get this certification: Learners who have a basic python or programming background and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
- Course description: Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Data Warehousing for Business Intelligence Specialization
- Duration: 8 months
- Cost: Coursera subscription of $39/month.
- Level: Advanced
- Offered by: University of Michigan
- Format: Online
- Who should get this certification: Experienced data analysts.
- Course description: This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.
Advantages of Data Analytics Courses
In today’s job market, data analytics is a highly sought-after skill. Many students are looking to gain these skills through data analytics courses, which are widely available online.
These courses offer students the opportunity to learn in a flexible and convenient format that can be completed at their own pace.
With the demand for data analysts increasing, now is a great time to start learning.
Whether you are looking to demonstrate knowledge of skills for career advancement or transition, data analytics courses can help. By studying data analytics, you can develop the ability to identify patterns and trends in data sets, which is a valuable skill in any industry.
Hosted by online providers, these courses are offered by some of the best universities and technology programs.
Best Data Analytics Courses
The best data analytics course for you is the one that you will complete. Different students have different learning styles and preferences, so it is important to try out different platforms, options, and formats to find what works best for you.
Some students prefer classroom learning, while others prefer online learning. Some students prefer hands-on learning, while others prefer more theoretical approaches.
If you’re looking for a more immersive and hands-on experience than a free course, you may want to look at signing up for a data analytics bootcamp. Bootcamps are designed to give participants the opportunity to put their new skills to use in a real-world setting.
By working on projects that mirror those found in the industry, students are able to get a taste of what it would be like to work as a data analyst. These programs also provide an opportunity for networking and building relationships with other professionals in the field.
Alternatively, most paid data analytics programs offer more comprehensive training than free courses. Paid programs typically come with additional resources, such as practice exams and access to a community of professionals. Paid data analytics certifications are offered by both industry providers (e.g. Google, IBM, AWS) and academic programs (e.g. Cornell, Penn, MIT).
Industry providers offer certification programs that are designed to help professionals develop skills that are specific to the needs of their industry. Academic programs, on the other hand, offer certification programs that focus on the theoretical and technical aspects of data analytics.
Remember that the most important factor in choosing a data analytics course is finding one that you are interested in and motivated to finish. Once you have found a course, make sure to put in the time and effort to complete it.
Doing so will give you the skills and knowledge you need to be a successful data analyst.
Frequently Asked Questions
Data analytics courses are educational programs designed to teach students the skills and knowledge required to analyze, interpret, and draw insights from data. These courses often cover topics like statistical analysis, data visualization, machine learning, and the use of specific analytics tools and software.
These courses are ideal for individuals interested in data science, business intelligence, or any field that relies on data-driven decision-making. They are suitable for beginners in data analysis, professionals looking to upskill, and anyone with a curiosity about handling and interpreting data.
Most beginner-level courses do not require prior experience, though a basic understanding of mathematics and computer operations can be helpful. Advanced courses might require knowledge of programming languages like Python or R, and a foundational understanding of statistics.
Yes, many reputable institutions and online learning platforms offer data analytics courses online. These online courses provide flexibility and can be a convenient option for those balancing other commitments.
Participants typically learn how to collect, process, and analyze data, use analytics and visualization tools, understand patterns and trends, and make data-driven decisions. Advanced courses may also cover predictive modeling and machine learning techniques.
Absolutely. Proficiency in data analytics is highly valued in many industries, including finance, healthcare, marketing, and technology. Completing a course can open doors to new job opportunities, promotions, or a career shift into data-focused roles.