What are the best courses for data analytics?We have analyzed our data from last year’s trends and created a list of suggested courses. The courses listed here meet the following criteria:
We’ve compiled this list of the best courses for Data Analytics to help you master the field. With so many excellent options available, now’s the chance to turn curiosity into career preparation.
Data Analyst Nanodegree (Udacity)
Learn how to work with messy datasets in just four months by practicing with real-world projects.Visit Site
- Focuses on hands-on projects and practical scenarios
- Personalized mentor feedback
- Career support services included
- Superb for learning Python-based data analysis
- Basic knowledge of Python and SQL languages required
Udacity’s Data Analyst Nanodegree will teach you all of the knowledge, skills, and tools needed to build a career in data analytics. In addition to covering both theory and practice, the program also includes regular 1-on-1 mentor calls, an active student community, and one-of-a-kind career support services.
This program is best suited for students who have working experience with Python (and in particular NumPy and Pandas) and SQL programming. However, don’t be discouraged if you lack these prerequisites. There’s also a similarly structured beginner-level Nanodegree, “Programming for Data Science“, that is the perfect pick for you if you don’t meet the prerequisites for this program. The beginner-level program covers just what you need: the basics of Python programming from a data science perspective.
As for the syllabus of the Data Scientist Nanodegree, it is split into the following four courses, each of which includes practical projects that you can demonstrate to future employers:
- Introduction to Data Analysis. Here, students have to explore weather trends and investigate one of Udacity’s curated databases using Numpy and Pandas.
- Practical Statistics. Here, students have to use data analytics and statistical analysis methods to make sense of large data sheets and report the results.
- Data Wrangling. Here, students learn how to use Python for data wrangling purposes (gathering data, assessing its relevance, cleaning it up, and preparing it for analysis).
- Data Visualization with Python. Here, students learn to use Python for putting data visualization principles into practice.
In this program, the lesson topics are all handpicked and the syllabus contains only the most useful and practical topics for working as a data analyst. It also covers some of the most common tools for data analytics, like R, Python, and Tableau, and forces you to apply concepts you just learned to real-world projects inspired or given by companies in the industry.
For these reasons and more, we ranked Udacity’s Data Analyst Nanodegree as the #1 best online data analytics course. It’s not easy, but it’ll help you learn the fundamentals of data analysis better than any other class.
Data Analyst with R (DataCamp)
This program features bite-sized learning materials curated by data industry experts. It will help you get your dream job in data analysis regardless of how much free time you have to study.Visit Site
- No prerequisites
- Courses picked by industry experts
- Interactive exercises
- Chance to work with real-world datasets
DataCamp’s Data Analyst with R Career Track consists of 19 data science analytics courses handpicked by industry experts to help you start a new career in data science. Since each course is about 4 hours long, the entire track should take about 77 hours to complete. At the end of this track, students should be able to manipulate and analyze data using R.
The track is easy to follow. It helps that each course is split into several smaller courses, which are divided into “chapters.” The curriculum is taught through videos and interactive exercises.
In addition to learning how to use some of the most popular R packages, like ggplot2 and tidyverse, students also gain SQL skills for querying a database and joining tables. Moreover, students get to work with real-world datasets, such as Australian population figures and U.S. baby names.
The courses are taught by 15 different instructors, including Jonathan Cornelissen, the co-founder of DataCamp. There are no prerequisites to starting this Career Track.
You can’t beat DataCamp’s Data Analyst with R if you’re looking to change career but don’t have a lot of time each day to spend studying. Divided into bite-sized learning chunks, this Career Track is hands down one of the best data analytics courses. It’ll teach you everything you need to know to get started in the data science field.
Data Analytics Immersion (Thinkful)
With a customized schedule, 1-on-1 mentorship, and 24/7 support from instructors, this course is as close to personalized learning as you can get.Visit Site
- No prerequisites
- 1-on-1 mentorship
- Don’t have to pay until you’re earning $40,000 a year
- Expensive
Thinkful’s Data Analytics Immersion is an intensive full-time training program. Although one of the more expensive data analytics courses out there (it costs $12,250), it promises to take you from beginner to expert in just four months. However, students are expected to spend between 50 to 60 hours a week studying.
Once you sign up for the course, you receive a customized schedule to help you stay on track. The curriculum consists of seven areas: Excel Foundations, Storytelling with Data, SQL Foundation, Tableau, Business Research, Python Foundations, and Capstone Phase. During the Capstone Phase, students not only get to build a final project but also complete two culture fit interviews.
There are no lectures or seminars. Instead, the course material is text-based. As such, the program might not suit individuals who prefer video instruction. That being said, every student gets a personal mentor who can answer questions about everything related to the course. You also get a career coach and an academic success manager. The latter can support you during tough times like if you get behind and need your deadlines pushed back.
There are no prerequisites for taking this course. But the admissions process is quite lengthy and includes a “fit interview” to see whether your schedule and learning style align with the course. If accepted, you can choose to pay nothing until you’re working as a data analyst and earn at least $40,000 a year.
Thinkful’s Data Analytics Immersion program can guide you to your dream career, as long as you’re willing to put in the time to study.
Associate Certified Analytics Professional
The Associate Certified Analytics Professional (aCAP) credential is an independent, entry-level analytics certification that shows education in the analytics process though the individual may not have practical experience yet. The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management.
Organization: INFORMS
Price: $200 for INFORMS members; $300 for nonmembers
How to prepare: A list of study courses and a series of webinars are available through registration.
Certification of Professional Achievement in Data Sciences
The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization.
Organization: Columbia University
Price: Students pay Columbia Engineering’s rate of tuition ($2,196 per credit). The online program includes an additional nonrefundable technology fee of $395 per course.
How to prepare: An undergraduate degree and prior quantitative and introductory to computer programming coursework are required.
Post Graduate Certificate Program in Data Analytics (Purdue University)
Ideally intended for individuals interested in boosting their career in data analytics, this program will provide you with comprehensive knowledge of data analytics. The curriculum is prepared in partnership with IBM to help you achieve job-critical abilities like data visualization, analysis, supervised and unsupervised learning. The classes will be delivered via live online sessions, graded quizzes, practice exercises, and hands-on projects from leading professionals and industry leaders. The curriculum comprises various learning outcomes, including Analytics and Programming Foundation, Tableau Training, Data Science with R, and R Programming for Data Science. During the learning sessions, you’ll work with real-life examples and applications with capstone projects to test your learned skills practically.
Key USPs –
– A well-established learning program designed with a Bootcamp model prepared with real-world projects and case studies
– Build a strong foundation in data analytics with the basics of statistics fundamentals and techniques
– Learn to analyze data with R and Python programming languages and visualize data with Tableau and Power BI
– Improve your knowledge with additional elective courses, such as Power BI, Master class, Artificial intelligence master class, etc.
– Work with industry projects from top-tier companies like Google, Walmart, IBM, and Zomato
Duration: 8 months, 5-10 hours/week
Rating: 4.6 out of 5
Conclusion
If you want to learn data analytics, how do you find an online course? Here are the best courses at the most reasonable prices for Data Analysis, Data Management, Data Mining, and more.