Introduction to Data and Text Mining using DSTK 3

Why learn Data Analysis and Data Science?

According to SAS, the five reasons are

1. Gain problem solving skills

The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.

2. High demand

Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.

3. Analytics is everywhere

Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It's a hugely exciting time to start a career in analytics.

4. It's only becoming more important

With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.

5. A range of related skills

The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths.  Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.

The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.

DSTK - DataScience ToolKit 3 is a set of data and text mining software developed closely with the CRISP-DM Model. DSTK 3 offers data visualization, statistical analysis, text analysis for the Data Understanding stage, Normalization, and Text Preprocessing for Data Preparation Stage, Modeling, Evaluation, and Deployment with machine learning and statistical learning algorithms.  

This introduction course will instill you with data and text mining fundamentals using DSTK 3 software. 

This course is based on my ebooks at SVBook.