Data Mining Fundamentals For Beginners

The complete guide to data mining using python and R programming

Become a complete Data Engineer from scratch!!

What you’ll learn

  • Learn the fundamentals of data mining.
  • Learn professional techniques for data engineering.
  • Learn tools such as R Studio, Rapid Miner and Jupyter Notebooks.

Course Content

  • Introduction and Setup –> 5 lectures • 13min.
  • Data Mining Standard Processes & Models –> 5 lectures • 35min.
  • How to Use the Software –> 3 lectures • 10min.
  • Data Reduction –> 4 lectures • 13min.
  • Clustering –> 4 lectures • 18min.
  • Classification –> 4 lectures • 17min.
  • Anomaly Detection –> 4 lectures • 14min.
  • Association analysis –> 4 lectures • 22min.
  • Regression analysis –> 4 lectures • 16min.
  • Sequence Mining –> 8 lectures • 34min.

Data Mining Fundamentals For Beginners

Requirements

  • Basic knowledge of any programming language will be helpful in completing the course.

Become a complete Data Engineer from scratch!!

Data mining is one of the key elements of data science that focuses on real-time implementation of data collection & analysis. It is important for designing & building pipelines that help in transforming & transporting data into a usable format.

This may sound simple, but it requires a lot more skills, time & hard work. And still, for many, the idea of data engineering remains fuzzy that has significantly contributed to the huge skill gaps.

In order to make the concept of data engineering clear & to help individuals become an expert data engineer, we have curated this course. This Online Data Engineering Course will help you to master all the underlying concepts, tools & technologies of data engineering.

Why you should learn Data Mining?

  • Focuses more on the implementation & harvesting of data.
  • Designing and building pipelines that can transform data into a usable form.
  • Helps in maintain data uniformity.
  • You will be able to design, manage & optimize the data flow with databases.
  • Database oriented job.

Why you should take this course?

Data engineering is one of the most misunderstood parts of data science. Moreover, data scientists are often confused with data engineers. However, both have separate roles & responsibilities. Data engineers are more oriented towards database & data harvesting, contrary to advanced data analysis or experimental designs.

In order to help you become a data engineer, we have curated this exclusive course that will be entirely dedicated to all the concepts involved in data engineering. This course also includes projects that will help you with a comprehensive understanding.

What You Will Learn?

  • Data mining & its tools
  • Using various software involved in Data Engineering
  • Data reduction with R, Python & RapidMiner
  • Classification with R, Python & RapidMiner
  • Clustering with R, Python & RapidMiner
  • Anomaly detection with R, Python & RapidMiner
  • Association analysis with R, Python & RapidMiner
  • Regression analysis with R, Python & RapidMiner
  • Text mining with R, Python & RapidMiner
  • Sequence mining with R, Python & RapidMiner
  • Data reduction with R, Python & RapidMiner
  • Projects for real-time implementation

Begin with this online course to understand all the underlying concepts of data engineering from scratch!!