Become more accurate in predicting outcomes without Machine Learning. Cleaning and unify messy and complex data set with Data Scrapping and Data Wrangling Help Companies make critical decisions through analysis, modeling, visualization, etc. Learn the emerging data science of unstructured data analysis and robotic process automation by choosing an elective based on your area of interest.
Social Media Analytics
Skills needed in Machine Learning
What Do You Need to Become a Data Scientist
Evolution of Data Science
Data Scientist - The Road Ahead
Data Science - Hype Vs Truth
Introduction to Big Data Analytics
Big Data Hadoop Tutorial for beginners
The great thing about being an analytics specialist is that the field encompasses so much more than simply knowing how to work with data and solve problems. Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. So if you are looking for a career that has a great demand, this course is for you.
Most data scientists hold an advanced degree, and many actually went from data analyst to data scientist. They can do the work of a data analyst, but are also hands-on in machine learning, skilled with advanced programming, and can create new processes for data modeling.
Data Science is a superset of Business Analytics. So, a person with Data Science skills can do Business Analytics but not vice versa. Data Science being a step ahead of Business Analytics is a luxury. Data Science uses both structured and unstructured data whereas Business Analytics uses mostly structured data.
Data Analytics. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources.