Data can never be valuable until we try to put it to good use. And we use statistics for transforming data into meaningful information which then allows organizations to make better decisions and predictions accordingly. Sadly most data science training only focuses on key technologies. But the real-world data science jobs require more than just technical acumen. To address this issue, we present to you a complete Data Analyst Learning path. This path is equipped with different beginner to advanced level courses that can be taken by anyone interested. Whether you wish to understand what data analysis is or learn data visualization in detail or want to learn data analysis with Python or whatnot, there is a course for everyone on this learning path.
|Courses in Learning Path||Total Enrollments||Expected Effort||Providers|
|16||3,349,989+||302 Hrs||Coursera, edX, Udemy, LinkedIn Learning|
In order to facilitate our learners, we have categorized the courses in multiple sections. Beginners can start from the very first course but as per the current skill set, learner can choose a course in any section and start building data analysis skill set. For example, if you already have foundation skills as a data analyst, you can skip section-1 and move directly to next sections.
Google via Coursera | 1,167,912+ already enrolled | ★★★★★ (54,994 Reviews)
This course aims to equip you with all the necessary skills required to apply to introductory-level data analyst jobs. You will be taught how to improve an organization’s processes and help them identify different opportunities and trends.
IBM via Coursera | 221,358+ already enrolled | ★★★★★ (7,965 Reviews)
In this course, you will get a detailed introduction to the concepts of data analysis. Here, you will understand the tools required to perform daily functions as a data analyst. The instructor will talk about the data ecosystem and the fundamentals of data analysis in detail.
Macquarie University via Coursera | 100,959+ already enrolled | ★★★★★ (2,481 Reviews)
This “Excel Fundamentals for Data Analysis” course is all about explaining how to use Excel tools and functions for cleaning and preparing the data for analysis. You will learn to use named ranges and tables to automate your analysis. The instructor will help you understand the different types of data in Excel and use appropriate functions to work with them.
Gini von Courter via LinkedIn Learning | 570,691+ already enrolled | ★★★★★ (13,549 Reviews)
In this beginner plus intermediate level training, you will understand how to successfully apply the required hardware to run Power BI. Here you will get to distinguish between the different data types in Power BI. You will also get to correlate the similarities between visualizations in Power BI.
University of California via Coursera | 158,126+ already enrolled | ★★★★★ (7,327 Reviews)
In this specialization, you will learn to use SQL commands to not only filter but sort and summarize data. The instructor will explain how you can manipulate strings, dates, and numerical data from different sources for analysis. Similarly, you will understand how to assess and create datasets for solving your business questions and problems using SQL.
Joseph Schmuller via LinkedIn Learning | 134,566+ already enrolled | ★★★★★ (2,431 Reviews)
This beginner plus intermediate training is all about explaining how to calculate simple probability. The instructor will teach you to review Excel statistical formulas and find the mean, median, and mode. Similarly, you will understand how to differentiate statistical nomenclature when calculating variance.
Harvard University via edX | 58,683+ already enrolled | 04 weeks of effort required!
In this course, you can learn to organize your high throughput data in a step-by-step guide. The instructor will talk about the multiple comparison problem in detail. You will also understand what family-wide error rates are. With that, the instructor will talk about the error rate control procedures and so much more.
Harvard University via edX | 235,690+ already enrolled | 08 weeks of effort required!
This class is all about explaining the basic data visualization principles and how you can apply them using ggplot2. The instructor will explain how you can communicate data-driven findings. With that, you will understand the weaknesses of several wide-used plots and why it is best that you avoid them.
University of California via Coursera | 170,655+ already enrolled | ★★★★★ (5,705 Reviews)
This course will help you discover what data visualization is and how it can be used to see and understand the data in a more effective way. You will learn to install Tableau Public Software and create visualizations. The instructor will explain how to examine and navigate the Tableau Public Workspace.
The University of Illinois via Coursera | 10,377+ already enrolled | ★★★★☆ (127 Reviews)
This predictive analytics training will help you understand how to identify the ideal analytic tool according to your specific needs. Here you will understand the valid and reliable ways to collect, analyze, and visualize the data. The instructor will explain how to utilize data in decision-making for the agencies.
DAVIDSON via edX | 106,538+ already enrolled | 04 weeks of effort required!
Do you want to step up your analytics game and learn one of the most in-demand job skills in the United States? If yes, then this course is what you need. Here you will be taught how to identify and work with business-oriented data sets. You will learn to import and prepare data for loading into a data model. Similarly, you will learn to identify different types of data visualizations and their purpose and so much more in detail.
IBM via Coursera | 268,811+ already enrolled | ★★★★★ (15,420 Reviews)
This “Data Analysis with Python” class is all about explaining how to develop Python code for cleaning and preparing data for analysis. Here you will understand how to handle missing values and format, normalize, and bin the data effectively. You will then be taught how to perform exploratory data analysis and then apply analytical techniques to real-world datasets using libraries like Pandas, NumPy, etc.
Kirill Eremenko via Udemy | 56,980+ already enrolled | ★★★★★ (8,062 Reviews)
In this class, you will learn to perform data preparation in R. The instructor will explain how you can identify missing records in data frames. Similarly, you will learn to locate missing data in your data frames. After that, you will learn to apply the Median Imputation method to replace missing records and so much more in detail.
Keith McCormik via LinkedIn Learning | 88,846+ already enrolled | ★★★★★ (3,131 Reviews)
This course talks about the inherent ambiguity in data science projects in detail. Here you will understand cognitive empathy and how it can be acquired. Similarly, you will get to differentiate the roles of skepticism, curiosity, persuasion, and diplomacy in professional data science.
Online free quizzes to prepare for tableau certification exams including tableau certified data analyst exam. These quizzes validate you with all necessary skills for Tableau certification exam for data analysts.
Online free quizzes to help you prepare for Microsoft Power BI data analyst certification exam. These are basic level quizzes targeting Power BI Data Analyst Associate.
This learning path contains courses from different providers that have been handpicked by our experts at takethiscourse.net and organized as a learning path. Our experts have only tried to put all the best data analyst courses from other platforms at one page for you to access them with ease.