Introduction
There are a lot of resources that can help you become a better developer. The choice of what to use is up to you. You can start with self-study, take a Bootcamp or go to university. As a data analyst/scientist enthusiast, several online learning platforms like Datacamp, Coursera, Udacity, or Edx can help you learn AI and analytical skills. As a complete beginner, Datacamp was my first choice when I started my data analytics/Science journey, helped me learn many things including, how to program in Python, how to analyze data using Excel, and even how to create data visualization in Python. This platform has also given me a better understanding of the industry I want to work in.
What is Datacamp?
Datacamp is a great learning platform for data enthusiasts, helps anyone learn analytical skills and how to use data to make decisions, and improves their knowledge and skills in various areas of business, finance, machine learning, and other fields.
What are the benefits of learning on datacamp?
Datacamp offers a variety of courses, programming languages, and tools to help students achieve their goals. These courses can be used in a number of ways, such as for business or data science training. The benefits of learning on datacamp include:
-Creating better data reports and insights -Improving your understanding of data -Developing Data Science skills -Building teamwork skills
- gaining experience with various programming languages
- Connecting with others in the data community
How can you use datacamp to improve your data analysis skills
As a complete beginner, you may be wondering how can you start your data journey, and how could you know which career is the best suited for you. Well, I've been in the same position, when I started, I didn't really know what I should study and what was the expectations in my field. Datacamp makes it easier for non-technical folks, by providing courses towards helping them better understand the data world regardless of their knowledge level. This is how I started, took the Data Literacy Fundamentals skill track, and expanded my knowledge of key data topics, including data science, machine learning, data visualization, and even data engineering and cloud computing, but also learned about the many roles, technologies, and frameworks in data science. This allowed me to better understand the world of data, and how it works.
Start your career as a beginner
Datacamp is the perfect platform for data enthusiasts who want to improve their skills in data analysis. By using this platform, you’ll be able to learn about how to use data in your business or personal life and develop new analytical skills needed to start a career in data science. when I started this journey I didn't know how to write codes in python, which is the preferred programming language for data analysts and scientists, tried to go through youtube videos but ended up learning nothing. On Datacamp, courses are beginner friendly, not only, but the learner also has an opportunity to write codes while learning, "learn by doing", which makes the learning experience better.
Work on projects
One of the main benefits of using datacamp is that it gives students the opportunity to work on real-world problems. By working on challenges and analyzing data, you’ll learn how to analyze complex data sets and make better decisions. Additionally, by participating in Datacamp forums, you can ask questions and share your insights with other Data Analyst disciples.
Here are some of the projects I have done on Datacamp:
Conclusion
Learning on datacamp can help you improve your data analysis skills. By exploring the different courses offered on datacamp and understanding what they offer, you can learn about different analytical techniques and how to use them for better business outcomes. Additionally, by staying up-to-date on financial news and learning about new trends, you can stay ahead of the competition and achieve better results