Welcome to this intro to Python for data science, data analysis, and visualization. Here I’ll guide you to a great introduction to Python and help you learn the ways you can execute Python data analysis. You will build a strong foundation of data science, machine learning, and related technologies. You will learn to analyze data with Python, create beautiful visualizations, and use powerful machine algorithms. Ready to start your path to becoming a data scientist?
Data scientist – ‘the sexiest job of the 21st century’ – with an average salary hitting nearly $120k in the US (according to Glassdoor.com)! And it’s not an only financially rewarding career, because your daily job will involve solving some of the most exciting problems. Naturally, data scientists need some excellent skills to be rewarded as generously as they are. Their skillset includes things like advanced analytics technologies, machine learning, predictive modeling, and the ability to identify patterns, trends, and relationships in data sets. This Python data science course is the most straight-forward way to build a foundational understanding of the technologies involved in data science.
At the same time, you’ll get a solid introduction to Python – the Swiss army knife in the world of coding. It’s the programming language with an ever-stretching community and an enormous scope of application. A lot of people use Python: from game, web, software developers, to graphic designers, data scientists, and many other tech-specialists. Why? First of all, it has an easy-to-understand syntax, so it takes less time to learn. Any questions that might arise while learning has probably been answered by members of the Python community, which is enormous. Next thing, Python is hugely scalable and faster compared to Matlab or Stata. Scalability is what made YouTube migrate to Python! Also, Python has a data science libraries available for aspiring candidates. You can perform Python data analysis with many of them, e.g., NumPy, which we’ll cover fully in this intro to Python for data science course.
This course will be your guide to learning to take the advantages of Python’s power in data analysis, creating visualizations that are clear and beautiful, and understanding machine learning algorithms. This intro to Python for data science course is suitable for beginners with minimal programming experience as well as for experienced developers who want to shift into the world of data science.
Some of the main topics that we’ll cover while you learn Python for data science include:
Just have a quick look at the full course curriculum to get a better sense of what we’ll be working on.
Learn Python and advance with your career to a new level. Learn what you need to know in a fun and practical way by enrolling in this course. Get a complete introduction to Python/Data Science. Stop doubting, start doing!
Vijay Gadhave – a professional in Data Science and Software Development with over 5 years’ experience. With an appealing voice and energy for teaching, he’s offering students to follow his lead in the fields where he feels most comfortable.
Data Science is one of the areas where new professionals are constantly in demand. Vijay offers detailed courses where you may learn theory combined with lots of valuable examples from his experience working both as a freelance software engineer, and as an instructor.
On BitDegree, Vijay Gadhave is inviting you to join his courses and learn Python for Data Science, and Statistics for Data Science. In an optimal amount of time, you’ll get a solid introduction to Python programming language, learn the best tools for data analysis and representation. Vijay Gadhave is eager to teach you the fundamentals of statistics so that you get the right foundation before you get deeper into the subject.
Join the relaxed atmosphere of Vijay’s courses and learn some of the newest and most in-demand skills for the modern world.