7 Best Data Analytics Courses 2022

Data analysis has been around for the longest time, and many prominent figures have used it in one way or another to make decisions. We have Florence Nightingale and Henry Ford, among others, who demonstrated that the knowledge of how numbers move is a crucial part of decision making and marketing. 

 

If you are a data analyst, you have seen a rise in analytics demand, which is now prompting more people to get a program that gives them a certificate in at least one of the components of analytics. 

 

The good thing about the times we live in is the access that people now have to some of the best online data classes and other areas of study, regardless of where they live. Here are some of the top data analytics programs this year that will give you an edge over your competition. 

 

What to Look for in a Course

 

You want to look at what’s covered to get value for your money. 

 

“If you are a beginner, you want a proper intro to analytics in the clearest way,” quips Jessy Swift, a senior writer at papersowl.com whose area of expertise is business analysis and leadership influencing change. 

 

How much time it will take to complete, and the cost are also important considerations since you need them to align your course's schedule and budget. While the best analytics program is not likely to be the cheapest, the value it returns will be worth the time and money. You also want to know whether there are prerequisites since this applies depending on your comprehension level. 

 

1. Data Analytics Bootcamp - General Assembly

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Source: generalassemb.ly

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If you are just taking off in a career in analytics, this is a good place point, as it is thorough enough to bring out the fundamentals without going too deep. It will give you a starter’s experience to begin with, but you will want a more comprehensive course that goes beyond the intro to statistical things that you get here. 

 

This one 5.5-hour class gives you the mastery you need to know functions, collect, analyze, and visualize data for large and small sets. It only costs $170 and is a day-long, making it one of the shortest and cheapest one online. 

 

Also Read | Top 10 AI-Based Learning Platforms in the US

 

2. Data Science Bootcamp - BrainStation

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Source: brainstation.io

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You are ready to dive into some of the more advanced parts of analytics when you take this 12-week course. You gain more information on stats, machine learning algorithms, and tools such as Tableau, Python, and R. The training will allow you to handle a project in any career setting that involves numbers.  

 

Once you have learned these, you will need to complete five projects that will make up part of your final exam for the certificate. Since the school has a low teacher: student ratio, you are assured of getting all the attention you need in problem areas. In 12 short weeks, you could transform everything.

 

  

3. Data Analyst Nanodegree - Udacity

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Source: www.udacity.com

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You can change the way you look at data in only 16 weeks, especially if you already have some know-how with Python - particularly NumPy and Pandas - and SQL programming. The syllabus is split into four: Introduction, where you explore curated databases using real-world data, then you will move to Practical Stats, where you will understand how to make sense of data sheets and their results. 

 

The next step is Data Wrangling which teaches you how to gather, assess the relevance and clean up data. The last stage is Data Visualization with Python. You get the chance to ask as many questions as possible while learning because of the program’s one-on-one approach. You get a data analyst certificate at the end.

 

 

4. Data Analytics Bootcamp – Springboard

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Source: www.springboard.com

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In partnership with Microsoft, Springboard developed this data program that gives you a guarantee of getting a job in data within six months of completion or claiming a refund. With all the debates on the pros and cons of online courses, this one will build one’s confidence when they know they can ask for their money back if they meet the set terms.

 

There are conditions for getting into this 6-month data program that assigns you tasks from Harvard Business School and Khan Academy. You have to be fluent in English, know MS Office or G-Suite, and be a critical thinker to solve business problems.

 

 

5. Data Analytics Immersion - Thinkful

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Source: www.thinkful.com

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This one demands 50 to 60 hours a week of your time and promises to take you from a data beginner to expert in only 16 weeks if you stick with it until the end. There are no criteria to meet to be included in this class, so anyone can join. 

 

Though it is one of the most expensive courses available, it tackles many areas. The teaching style may not suit everyone since it is text-based, but it is unique because students can choose to pay the fee after earning at least $40,000 a year. Before being accepted, you must pass the “fit interview” that includes the school analyzing your schedule to see whether it fits into its time requirements.  

 

 

6. Excel to MySQL: Analytic Techniques for Business Specialization – Coursera

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Source: www.coursera.org

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Duke University starts you off with skills in Spreadsheets, Tableau, and MySQL so you can break down simple data. Along the way, you start to practice what you have learned with a real-life database in a real-life exercise that will make what you studied more practical. You will need at least MS Excel 2007, five hours a week, and the discipline to study without too much supervision. 

 

 

7. Data Analysis for Management – London School of Economics

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Source: www.lse.ac.uk

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In only eight weeks, you could quickly learn how to use and interpret data for your business. It is ideal for those working in leadership positions who want to upgrade their know-how of how data influences their success. The entire learning period is meant to equip you with qualitative skills you do not possess, so it is open to all without any prerequisites.  

 

In the beginning, you learn decision-making under uncertain times and then move on to more complex concepts of data visualizing and descriptive statistics. You will also be taught to quantify risk using probability and data integrity. Towards the end, you will get into time series forecasting using tools for data analysis.

 

Conclusion 

 

These programs cover everything from the basic tools to the more advanced parts that give you the authority for analysis. If you get into it diligently without missing your classes, you will get the proper guide to understand the fundamentals of data to work in the industry like a pro. There are probably a few free programs, but the best are premium since they are taught by experienced career data analysts.