Learn R for Data Science with uCertify

R is a software package that provides a language and an environment for data manipulation and statistics calculation. A data analyst should learn advanced data analysis techniques to analyze data more effectively.

uCertify’s course covers the following concepts thoroughly and provides a hands-on experience of the language R. :

  • Data Mining in R
  • Text Mining in R
  • Regression Analysis
  • Correlation
  • Clustering
  • R Graphics
  • Plotting
  • Supervised and Unsupervised Learning

uCertify’s course R for Data Science is written for data analysts who have a firm grip on advanced data analysis techniques and want to learn R for data science. The course contains well descriptive interactive lessons containing pre and post-assessment questions, knowledge checks, quizzes, live labs, flashcards, and glossary terms to get a detailed understanding of the distinctive course.

Get your copy of uCertify’s course R for Data Science today and start exploring the language R.

Learn Data Modeling with uCertify

It is very clear that one of the keys to successful IT projects is an effective database design. Some monumental project failures have proven that no amount of clever programming can save a project from a bad database design. 

uCertify’s course Data Modeling presents the latest data modeling and database design techniques in a vendor-neutral manner that works for any database management system. You’ll learn how to create conceptual, logical, and physical data models as well as specialized techniques for handling temporal and analytical data such as those found in data warehouses and data marts. 

The course is addressed to: 

  • The analyst or manager who wants a better understanding of how to design data structures and databases
  • The database administrator who wants to learn more about database design
  • The technical support professional or testing/QA engineer who will be reviewing data models and database designs
  • The web designer writing applications that require databases for data persistence
  • Application developers who wish to expand their design skills, and so on

The course has Data Modeling: A Beginner’s Guide with well descriptive interactive lessons containing pre and post-assessment questions, knowledge checks, quizzes, live labs, and flashcards to get a detailed understanding of data models. The labs present in the course give you hands-on experience in creating and analyzing data models.

So what are you waiting for? Get your copy of uCertify’s course Data Modeling today.

Develop Dashboards to Visualize your Data with uCertify

Today, the world is revolving around data to visualize the data using real-world scenarios. This is the right time to learn about The Big Book of Dashboards to manage your data effectively. It is going to help you in every sector, such as healthcare, transportation, finance, human resources, marketing, customer service, sports, and so on. 

uCertify introduces the course The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios to fulfill the need to learn data visualization. The course contains interactive tools like objective-based lessons and live labs for a hands-on experience. The Big Book of Dashboards is for anyone tasked with building or overseeing the development of business dashboards. 

The course is organized into three parts.

Part I: A Strong Foundation. This part covers the fundamentals of data visualization.

Part II: The Scenarios. This is the heart of the course, where dozens of different business scenarios are described.

Part III: Succeeding in the Real World. The lessons in this part address problems in the real world.

So, enroll in The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios course today and start learning.

Develop Linear Models by Learning Regression Analysis with Python

Get the knowledge to use Python for building fast and better linear models and to deploy the resulting models in Python with uCertify’s course Regression Analysis with Python. Linear models have always been a prominent and relevant element of the body of knowledge in statistics, economics, and many other respectable quantitative fields of study.

uCertify’s course Regression Analysis with Python covers the following concepts in a detailed manner with live labs for a hands-on experience:

  • Regression – The Workhorse of Data Science
  • Approaching Simple Linear Regression
  • Multiple Regression in Action
  • Logistic Regression
  • Data Preparation
  • Achieving Generalization
  • Online and Batch Learning
  • Advanced Regression Methods
  • Real-world Applications for Regression Models

The course is addressed to Python developers with atleast a basic understanding of data science, statistics, and math. Though the course doesn’t require a previous background in data science or statistics, it can well address data scientists of any seniority who intend to learn how to best do regression analysis on a dataset.  It has well descriptive interactive lessons containing pre and post-assessment questions, knowledge checks, quizzes, live labs, flashcards, and glossary terms to get a detailed understanding of the distinctive course.

So what are you waiting for? Get your copy of uCertify’s course Regression Analysis of Python today.