How do you transition into data science?

See my post on Questions You Should Ask Them during a Data Science interview to know the difference. As the Data Science industry starts advancing some roles such as Machine Learning Engineer overlap with a Data Scientist.

How can data science be used in sales?

The most fascinating application of sales data science seems to be using bots rather than salespeople. Chatbots help automates consumer interactions and reduces the amount of time spent on solving problems. Modern chatbots are enabled to better interpret customer messages through sentiment analysis algorithms.

How do I transition my career to data science?

If you are looking to transition your career to data science, the most common advice you may have heard is to learn Python or R, or to learn machine learning by pursuing courses like Andrew Ng’s ML course on Coursera, or to start learning big data technologies like Spark and Hadoop. I call this a technology-focused route to a data science career.

How do I become a data scientist?

Join a course to learn the basics of data science– an introduction to Python, core statistical concepts and the critical machine learning algorithms Make sure you do all the assignments. This is your chance to get the experience first hand. Subscribe to Analytics Vidhya to regularly read about various data science techniques and topics

Are you prepared to crack a data science interview?

Whether you’re a fresher, a mid-career transitioner, or considering a late career switch, you need to be extremely well prepared to crack data science interviews. That’s what we aim to help you do in the ‘Ace Data Science Interviews‘ course!

What is the difference between a data scientist and a business analytics?

Most jobs with that title fall into the Business Analytics Professional job category. Some of these positions need advanced analytics skills and thus fall under the Predictive Analytics Professional category. Data Scientist, on the other hand, is used very broadly and vaguely with jobs falling under all three categories.