|Starting Date||Timings||Ending Date|
Course Price at
The following list reflects the relevant sub-topics that I will be covering:
· Linear Algebra.
· Machine Learning.
· Data Mining.
· Data Visualization.
· Technical. Mathematical. Programming. SQL. Data Science. Machine Learning. Working with Unstructured Data.Non-technical. Business Acumen. Management Principles. Communication. Data Intuition
After being dubbed “sexiest job of the 21st Century” by Harvard Business Review, data science has stirred the interest of the general public. Many people are intrigued by the job and wonder how they themselves can become data scientists. There are so many tools, courses, and applications for folks to learn data science, but let’s face it: for someone unfamiliar with the field, all these options can seem like a jungle of complex information.
As experts in the space, the DataCamp team decided to synthesize everything we know about becoming a data scientist into 8 steps. We created an infographic meant both for those interested in learning data science for the first time, and existing data scientists looking to hone their skills