Data Analysis Courses Online

About

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.

Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.^[3] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge.

Content

• Foundations
  • Relationship to statistics
• Etymology
  • Early usage
  • Modern usage
• Impacts of data science
• Technologies and techniques
  • Techniques
  • Languages
  • Frameworks
  • Visualization Tools
  • Platforms

About

Get to know the learning you need for starter level data science in this involved Python and Jupyter course. You will find most oftentimes utilized libraries that are essential for the Anaconda distribution, and investigate AI models with new data sets to give you the knowledge and the understanding you need. 

Content

• Introduction to Analysis of data
• Understand machine learning strategy and classification
• Validation curves and dimension reduction
• Pandas Dataframes
• Develop User Interface for viewing

About

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity; as of January 2021, R ranks 9th in the TIOBE index, a measure of popularity of programming languages.

Content

• History
• Statistical features
• Programming features
• Packages
• Milestones
• Interfaces
• Implementations
• Communities
• useR! conferences
• The R Journal
• Comparison with SAS, SPSS, and Stata
• Commercial support for R
• Examples
  • Basic syntax
  • Structure of a function
  • Modeling and plotting
  • Mandelbrot set

About

The course aims to broaden the knowledge of participants about programming using PL / SQL and issues related to the optimization commands. Particular emphasis in this training is the performance of the data collection to ensure a smooth operation for very large amounts of data. In addition, workshops supplement an understanding of the elements necessary to any advanced user of Oracle in their daily work, such as copying and downloading large amounts of information, data modeling, modification of an existing data model and reverse engineering techniques using Oracle tools.

The course is based on the software version 11g XE

Content

• Moving and loading
• Procedural language PL / SQL allows you to expand the analytical capabilities of a SELECT statement
• Improving the performance of SQL queries
• Data modeling and acquisition and modification of the existing data model based on Oracle SQL Modeler