Quincy Larson created freeCodeCamp in 2014 to spread coding education for every coding enthusiast around the globe. Since then, the non-profit, donor-supported educational organization has been providing relentless support for newbie developers. This is a free online platform through which you can access a single-track curriculum of coding. The freeCodeCamp Data Analysis Course consists of coding challenges, open source projects, web development projects, etc., and is completely self-paced.
In one year, the best learning source will make you efficient in areas like JavaScript Algorithms, Responsive Web Design, Data Structures, Front End Libraries, APIs, Data Visualization, Microservices, Quality Assurance, and Information Security.
The updated curriculum is set to foster a culture of shared learning and paired programming. As two programmers get to work together in such a modern software development technique, this creates a delightful learning experience for the learners. After completing each of these sections, you will receive a certificate.
Why Look for a Data Analysis Course?
In this age of the internet and information, we see an endless amount of data being released every day. This knowledge-based era is run by studying those data. Right from studying trends to improved strategy building, MNCs and every company depend on data.
There’s an outburst in the demand for skilled data scientists who can analyze and research a vast amount of data and share valuable insights after the examination. Here’s a list of reasons why choosing a career in this field will prove beneficial and rewarding for you:
- Transforms Businesses:
Data science can revolutionize any business if and when implemented wisely. This will help you understand the current status of performance, customer preferences, and requirements of the market and build a data-driven strategy.
Every big or small company is deploying efficient data experts to transform their business. Therefore, data science, or data analysis to be specific, has a tremendous impact on business tactics and marketing strategies.
- Increasing Job Opportunities:
This is an ever-evolving field and with every passing day, its demand is increasing in different sectors. Various industries today are dependent on this technology but lack efficient data experts who can handle the responsibility.
Due to its relevance and indispensability in the future, the field offers great career opportunities. Well-experienced data analysts with excellent foundational knowledge enjoy high salary benefits.
- Spectrum of Work Opportunities:
Data science is being incorporated into every industry, so people from diverse backgrounds with a zeal to learn about data get numerous options to work on. We know business intelligence, data assurance, marketing, finance, healthcare, education, government, banking, etc. are some of the examples that are ruled by data scientists.
- Informed Decision-Making:
With the knowledge about data and its studies, you will be able to make informed business policies. Innovative strategies will be taken up depending on the result of the data analysis. You can work as a freelancer with different companies to be a part of their decision-making.
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- An Array of Roles for Data Scientists:
The job of a data scientist is a highly responsible one concerning many layers of performance. As a data scientist of a company, you will accomplish the task of data collection from probable sources.
Then, with team members, you have to organize the data with value and present a detailed report of that. You will make a prolonged study of the selected data to find a correlation between them.
You will also look for trends and patterns hidden in those data. After a detailed study, the result of the data analysis will give you outcomes to improve your business.
- Multiple Specializations:
As a data scientist, you can work for most of the sought-after domains of the market. We know that `the digital world requires digital marketing, and so is the need for marketing analysts.
For innovative new-age marketing strategies, marketing analysts create data-driven policies of marketing. A financial analyst takes the help of data analysis to improve the bottom line, cut down costs, and decipher the overall financial solution.
You can also work as a sales analyst to crack the sales code. You can optimize the sales of your company and increase the total profit with your calculation.
When you understand the end-to-end operations of an organization, you can take the role of an operation analyst and recommend the right way of workflow.
You will conduct timely research, and recommend alteration of the company’s operation. So, we can see a plethora of opportunities to be explored as a future data scientist. Several educational institutions are offering courses on data science.
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The Curriculum of the freeCodeCamp Data Analysis Course:
The freeCodeCamp Data Analysis Course is currently providing courses on PHP, CSS 3, HTML5, Bootstrap, jQuery, Sass, JavaScript, Node js, Python, MongoDB, etc.
In 2022, the freeCodeCamp announced to provide free degree programs in mathematics and computer science and the process of accreditation and curriculum development is still going on.
In 2023, they developed a C## Foundational certification course in partnership with Microsoft.
At present, freeCodeCamp is known for being the largest channel on programming on YouTube with millions of subscribers actively learning from them. More than 700 programming courses are running at full length so that every interested learner can learn free of cost.
Moreover, every week freeCodeCamp publishes new courses in some of the advanced topics.
The online educational organization has been offering 11 core certifications that include web application projects, hundreds of coding challenges, and automated tests.
On average, such a program takes 300 hours for a beginner to accomplish, although you can finish them at your own pace remotely.
There are a total of 11 disciplines that freeCodeCamp offers of which the completion of 7 disciplines will provide you a full-stack development certificate.
The certification implies that you have learned about 1800 hours of coding with the application of various development tools. Some learners may take one or two of them to gain specific knowledge and skills in their required areas.
The Seven Required Disciplines Are-
- Data visualization
- Back-end development and APIs
- Front-End Development Libraries
- Information Security
- Java Script Algorithms, Data Structure
- Responsive Web Design
- Quality Assurance
The Certification Process of the freeCodeCamp Data Analysis Course:
The website freeCodeCamp.org provides various free developer certifications. To achieve the certification, you will need to proceed through a series of coding challenges that prepare you for app projects. You will accomplish 5 web app projects and the estimated time of one certification process takes around 300 hours for a beginner programmer to complete.
The website shows that each of the 50 projects of their curriculum follows unique user stories and automated tests. These ensure that you build up the projects incrementally by fulfilling the required user stories of the concerned projects.
There are several websites like CodePen or Replit through which you will build such projects. You can even use your computer’s development environment for constructing these projects.
But you will be exempted from the certification process if freeCodeCamp finds you plagiarizing your projects like submitting another coder’s code or submitting someone’s work without citation.
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Learning Guidance from the freeCodeCamp :
Before you start your learning session, the founder teacher of the educational organization shares with you the proven path of successful career guidance to build your software developer career-
You are advised to begin with the foundational courses and develop your knowledge of coding and data science consistently. The certifications will be earned eventually and this way, over 40,000 alumni of the institute have been able to make their places in big companies including Microsoft and Google.
If you invest the required time which is at least 300 hours for one project, and pass the tests after submitting 5 projects, you will earn the most recognized certification in the industry.
Software programming is not everyone’s cup of tea. You require genuine interest and dedication to continuously upgrade your knowledge. You may naturally feel lost in the vast amount of knowledge, but a steady pace of learning will take you to the shore.
So, ‘practice’ is the only key to being successful in this field. Thousands of hours of hands-on learning are there for your programming practice. You should utilize this the most.
You can join the YouTube channel of the freeCodeCamp to access in-depth knowledge of computer science theory and mathematics. The freeCodeCamp forum, LinkedIn, GitHub, etc. platforms also provide the same.
Details of the freeCodeCamp Data Analysis Course:
It’s been a long time since developers have practiced data analysis and other data science projects through various closed-source and expensive tools like Tableau. However, this created a hostile environment for data scientists who couldn’t afford the tools.
An evolution came in data science practices when open libraries of Python and SQL became available to everyone.
But there’s a lack of education amongst data scientists about the implications of such worthy tools and as a result, people have been exempted from tasting the fruit of various data analysis tools.
The freeCodeCamp Data Analysis Course is named Data Analysis with Python Certification. This has been designed to teach you the fundamentals of data science along with the use of Python for the data science process.
You will also learn to read data from different sources such as SQL, and CSVs, and be able to use libraries of Matplotlib, Seaborn, Pandas, Numpy, etc in the data science process. Nevertheless to say that these tools make your data science job hassle-free and error-free.
The freeCodeCamp Data Analysis Course comes in various videos created by Santiago Basulto. The comprehensive course will build your knowledge of the total process of data analysis.
By the end of the course, you will be successful in reading data from sources like CSV, Excel, and SQL, be able to process the data through NumPy or Pandas, and create the result of the data analysis through data visualization using Seaborn and Matplotlib.
You can also refresh your programming knowledge with Jupyter Notebook and Python references that the freeCodeCamp Data Analysis Course offers.
Here is the Comprehensive Curriculum of the freeCodeCamp Data Analysis Course:
- Introduction
- Data analysis with example
- Use of Jupyter Notebooks
- Jupyter notebook cells
- Importing and exporting data
- Numpy
- Boolean arrays
- Pandas introduction
- Indexing and conditional selection of Panda
- Panda data frames
- Conditional selection and modification
- Creating columns in Pandas
- Data cleaning
- DataFrames for data cleaning
- Data visualization
- Reading data
- CSV and TXT
- Data reading from databases
- HTML
- Data saving
- Python Introduction
- Functions of Python
- Python modules
- Numpy- basics
- Rows, columns, etc. in Numpy
- Different arrays
- Array problems
- Mathematical concepts
- Arrays reorganizing
- Advanced indexing
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Projects for the freeCodeCamp Data Analysis Course:
There are different ways of data analysis with the use of Python and you will learn those methods during the course. For your hands-on experience of the matter, you are required to complete the projects.
This demonstrates that you have completed the course meticulously and have gathered sufficient foundational knowledge of data science and Python.
The five topics of the projects are mentioned below. Each of them is thoroughly elaborated in the official website.
1) Mean-Variance-Standard deviation calculator
2) Demographic data analyzer
3) Medical data visualize
4) Page view time series
5) Sea level predictor
Different Learning Platforms of the freeCodeCamp Data Analysis Course:
You can access the freeCodeCamp Data Analysis Course at their official website and on many other platforms. They have a forum to get back to all your queries, give project feedback, and provide help within hours.
Apart from that, the freeCodeCamp YouTube channel offers a wide variety of courses on data science tools and technologies.
You can find some programming tutorials and articles in their technical publication. This will build your knowledge of mathematics and computer science as used in data science.
You can join the greater freeCodeCamp community through the Discord server. You will get an opportunity to discuss issues with other developers and hang out with them.
A Dive Into the freeCodeCamp Data Analysis Bootcamp:
The continually evolving data science requires efficient experts with vast technical knowledge on the matter to stay ahead. Keeping this in mind, the freeCodeCamp has crafted its data analysis bootcamp to teach you data science methodologies and technologies within a short period.
The 19-hour bootcamp on the freeCodeCamp YouTube channel is developed by Alex Freberg and can be accessed by anyone from anywhere in the world.
The immersive course is recommended for both seasoned and aspiring data analysts. The creator of the course is an experienced data analyst himself and pours out his own experiences in building the curriculum.
The course caters to various requirements at different stages of your learning process in the path of becoming a data expert. The career path binds both practical knowledge acquisition along with gaining theoretical knowledge for your data analysis journey.
A variety of projects and enriching tutorials will guide the learners to acquire mastery of the following data science tools:
- The first part of the boot camp deals with SQL which is a cornerstone tool for data retrieval and data manipulation. You will be taught from scratch like installing SQL server management studio, then proceed to table creation, Group By, Order By Statements, and then Unions, Inner and Outer joins, Case statements, etc. complex topics.
- Another most common data analytics tool Microsoft Excel is elaborately taught in this course. Crucial skills in Excel like XLOOKUP, Pivot Tables, Conditional Formatting, Chart creation, etc. understanding provide you with a comprehensive understanding of the tool.
- We know that data visualization is the final and the most important step of data analysis and we require specific tools to make the result presentable. Power BI and Tableau are used for this purpose. This boot camp introduces various concepts like creating visualization; managing functions like DAX and Power Query, and installation and operation of the software.
- The course will harness your Python knowledge and teach you from basic to advanced skills. Data types and different variables are the foundational concepts and extend to web scrapping, data manipulation with Panda, etc.
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Relevance of Data Analysis Course:
Data Analysis Course teaches you to use data insights for the development of your business. Every company requires data specialists to understand customer behavior, improve services, and increase productivity.
Historical databases provide valuable knowledge to assess the present status of your business and predict the future outcomes of the company. For this purpose, data scientists research and go through elaborate analysis to draw specific data-based conclusions.
The process of data analysis concerns multiple methods and techniques. To conduct such a process, you need to master various tools. The subject encompasses concepts from computer science, algorithms, machine learning, inference, statistics, and technologies.
With time you will understand the data mining process of large datasets of structured and unstructured data. This will tell you about the hidden patterns and provide you with valuable insights.
This is an asset for every organization that knows the efficient use of data. You will be able to eradicate time and money waste with the analysis of marketing channels’ performance. Without spending on advertising, your company will be able to generate more leads.
Reports tell that global data will grow by 175 zettabytes by 2025 and this vast amount of information will remain meaningless if unused.
When analyzed properly, data analysis will enlighten people with the necessary measures to take, and track performance metrics for enhanced performance, forming enterprise-wide decisions.
In the time of decision formation, the company needs to analyze the current trends, and data scientists make this job logic-based. You will use existing data for database models and these simulate actions in the future.
Therefore, to reap the best reward in business, every big and small company today is searching for qualified data scientists. They are responsible for bringing out useful insights to the stakeholders of the company.
Frequently Asked Questions
1) Are freeCodeCamp Courses Completely Free?
Every aspect of the freeCodeCamp Data Analysis Course is completely free to access. Be it the courses, the certification process, or the projects you engage in come completely free.
This is a free educational platform where people from anywhere in the world join together in learning codes of various types together. Currently, the freeCodeCamp Data Analysis Course comes under 501(C)(3) public charity.
2) Can I get a Job After Completing the freeCodeCamp Course?
The alumni who have completed any of the freeCodeCamp courses review the courses as highly job-oriented and professional. People who join the Course share with the community about getting their first software developer or data scientist positions in jobs every year.
3) What are Some of the Key Concepts in freeCodeCamp Data Analysis Courses?
The freeCodeCamp Data Analysis Course covers a wide area of subjects and specializations. They provide you with all the required skills the developer requires in his job. They are- HTML, JavaScript, CSS, Git, Linux, Python, and more. You will be able to access libraries for mobile app development, web development, and artificial intelligence and data science applications.
Conclusion:
The array of freeCodeCamp Data Analysis Courses makes an impact on thousands of code learners in profile building, career-making, and getting job placements. Because the courses are free, students from any financial condition can take them and try their luck in the industry.
Many have benefitted from the tech support of the freeCodeCamp and have grabbed their first developer job. The alumni review that this is a friendly community to learn code for free.
So, if you also want to learn coding or want to expand your gathered knowledge on coding, thousands of interactive coding challenges are awaiting the freeCodeCamp Data Analysis Course for you. Hurry to grab them and unlock the door to a successful career in the industry!