Data analysis is crucial for businesses looking to make informed decisions based on data-driven insights. Fortunately, there are several free data Analystics courses available online that can help you acquire the necessary skills without any financial burden. In this post, we will explore the top three free data Analytics courses you can enroll in today, providing you with a solid foundation to kickstart your career in data analysis.
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About the Data Analystics
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today’s business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information.
In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
Eligibility Criteria Of Data Analystics Courses
Top 3 Free Data Analystics Courses For Beginners & Everyone.
Here are 3 Free Data Analystics Courses
1. Intro to Data Analysis
Learn data analytics for free with this Intro to Data Analysis course. I joined in this course to examine the material, and I discovered that there are three classes and one project.
Typically, free courses don’t include projects. However, this course offers one dataset analysis project. You must examine the provided dataset, and then you must provide your findings.
You will learn the steps involved in data analysis as well as the well-known Python modules Pandas and Numpy throughout this course. After reviewing its material, I can state that this program is suitable for those looking to get a fundamental understanding of data analysis.
What Will You Learn?
Data Analysis Process
NumPy and Pandas for 1D Data
NumPy and Pandas for 2D Data
Final Project: Investigate a Dataset
Course Link Click Here
2.SQL for Data Analysis
This SQL for Data Analysis course teaches SQL for Data Analysis and is also entirely free. If you want to study or brush up on your SQL skills, this is the course for you. SQL is used for handling data.
I signed up for each of these courses, then I checked the calibre of the content. Therefore, when I enrolled in this course, I discovered that it was a thorough course with 7 lectures.
The first session goes over the fundamentals of SQL, including Why SQL Is Important, Types of Statements, SELECT & FROM, LIMIT, ORDER BY, WHERE, Arithmetic Operators, and a host of other subjects.
The two lessons that follow discuss SQL Joins and Aggregations.
This course also covers table expressions, persistent derived tables, and subqueries. The lecturer, Derek, then
What Will You Learn?
Basic SQL
SQL Joins
SQL Aggregations
SQL Subqueries & Temporary Tables
SQL Data Cleaning
Advanced] SQL Window Functions
Course Link Click Here
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3. Bayesian Statistics: From Concept to Data Analysis
This University of California course, Bayesian Statistics: From Concept to Data Analysis, is free to audit, but it is not intended for novices.
They have organised the course into a 4-week plan, which I discovered when I free-audited the course to assess the quality of its content.
They discuss Bayes Theorem and fundamentals of probability in the first week’s lesson plan. This week, you will also study about binomial and Bernoulli distributions.
The videos aren’t extremely long, so I don’t see why they separated it up into four weeks. The majority of the videos last 6 to 10 minutes.
You’ll learn about statistical inference the following week. Python is not used in this course; instead, R programming is. The introduction to R programming is covered in a separate video.
Skills you’ll gain
Bayesian Statistics
Probability & Statistics
General Statistics
Probability Distribution
Course Link Click Here
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Benefits of Taking Free Data Analyst Courses
Cost-Effective Learning: These courses are free, allowing you to gain valuable skills without financial investment.
Flexible Scheduling: Most courses are self-paced, enabling you to learn at your convenience.
Industry-Relevant Skills: The skills acquired through these courses are highly applicable in today’s job market.
Foundation for Advanced Learning: Completing these courses can serve as a stepping stone toward more advanced studies or certifications in specific areas of data analysis.
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