DEV Community

Jonathan Reeves
Jonathan Reeves

Posted on • Edited on

Codecademy Data Science Course Part I

Thoughts On Codecademy Data Science Course

Hello, and welcome to my post on Codecademy's Data Science Course. This will be a series of posts documenting my time with the platform throughout the course. Hope the information in this post is informational and even helpful if you are looking at possibly taking the course.

Introduction Course: Why Data Science?

The first course you start with isn't so much about coding as it is about why choose Data Science as a profession and what skills you will learn in this course that will make you a successful Data Scientist. You are introduced to an employee that was just hired by Codecademy as a Data Scientist. You go through, what I can only assume is her first day/week on the job while being introduced to the various languages and skills you will learn throughout the course.

What Skills and Programming Languages You Ask?

Keep in mind that this is just an introduction section so it doesn't go into too much detail on any of the sections.

SQL

The first language that it covers is SQL. It gives a brief introduction to the new employees task and that they will be using SQL to accomplish the task. You then run your and see your first glimpse of SQL. If you haven't ever used SQL before this is a pretty cool introduction. For those that have used SQL or have several years of experience with SQL it's not anything you haven't seen before.

Python

Next up is Python. You get a brief introduction to the numpy and pandas libraries a long with showing matplotlib for creating pretty neat and awesome looking data visualizations. This is actually pretty cool. Whether this is your first time seeing a data visualization project or not it's pretty cool to look at.

Machine Learning

Last but certainly not least is the Machine Learning section. This section show a Python script full of all kinds of code that, if you are new to Data Science you won't really understand but that isn't the point of this section. It is just to get you to see what the code produces that you will eventually be creating.

Conclusion

I know this wasn't the longest post, or shortest post for that matter, but I just wanted to say that so far the Data Science course available on Codecademy is going good. And does offer valuable insights into each category to show what you will be doing. Enjoy.

Top comments (3)

Collapse
 
innomaticsresearchlabs profile image
innomaticsresearchlabs

Data Science Course in Hyderabad

Data Science Training in Hyderabad
Data Science Course Training in Hyderabad

Advanced-Data science training with Free Internship & 100% Placement Assistance

About the Data Science course Training in Hyderabad

Data is everywhere, which is growing exponentially globally, and this may still grow at an accelerating rate for the foreseeable future. Businesses generate massive amounts of data within the type of blogs, messages, transaction documents, mobile device data, social media, etc. By using this data effectively, a firm can create vital value and grow their economy by enhancing productivity, increasing efficiency, and delivering more value to consumers.

Data Science helps in combining the disruption into categories and communicating their potential, which allows data and analytics leaders to drive better results. Top businesses thought there is a necessity to research the data for significant benefits. They use the insights from data for the advantage of users.

Human deciding is becoming increasingly inadequate to pander to a never-ending expansion of the data . However, Data Science and Machine Learning are excelling in solving highly complex data-rich problems. To think beyond the human brain and maintain the balance with the knowledge that's evolved, disrupted, and being employed the sectors altogether, data scientists foster new methodologies. Data scientists must try 'big data expeditions' to explore the data for previously undiscovered value - the first common application of data science. Typical applications include marketing segmentation, advertising, tweaking dynamic pricing models, or banks finding risks and adjusting the financial risk models.

What are the Tools utilized in Data Science?

Collapse
 
syntax_minds_640b66ce5fe6 profile image
syntax minds

Data Science in Hyderabad

Data Science Training in Hyderabad
Data Science Course Training in Hyderabad

Advanced Data Science Course Training with Internship & 100% Placement Assistance

About : Data Science Course Training in Hyderabad

Data Science is a field that blends various scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It leverages techniques from statistics, mathematics, and computer science to solve complex problems and make data-driven decisions.

Data Science involves the use of statistical techniques, algorithms, and technology to analyze and interpret complex data sets. It incorporates aspects from multiple disciplines, such as mathematics, statistics, computer science, and specialized domain knowledge.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to derive insights and knowledge from both structured and unstructured data. It combines elements from statistics, computer science, and domain expertise to analyse data and make informed decisions.

Data science is a dynamic and interdisciplinary field that plays a crucial role in transforming raw data into actionable insights, driving innovation, and enhancing decision-making across various domains.

what are the key Components of Data Science ?

Collapse
 
careerpedia_4e8b690080fc8 profile image
Careerpedia

Join Careerpedia's Data Science course to learn from industry experts through practical projects and modern methods. Boost your career with hands-on training and a complete curriculum tailored for future data scientists.