Detail kurzu
Data Science and Big Data Analytics
EDU Trainings s.r.o.
Popis kurzu
In this course, you will gain practical foundation level training that enables immediate and effective participation in big data and other analytics projects. You will cover basic and advanced analytic methods and big data analytics technology and tools, including MapReduce and Hadoop. The extensive labs throughout the course provide you with the opportunity to apply these methods and tools to real world business challenges. This course takes a technology-neutral approach. In a final lab, you will address a big data analytics challenge by applying the concepts taught in the course to the context of the Data Analytics Lifecycle. You will prepare for the Proven Professional Data Scientist Associate (EMCDSA) certification exam, and establish a baseline of Data Science skills.
Key Features
Session by Certified Instructor
Advanced hands-on labs
Official training content
Industry-recognized certification
Interactive sessions
Key Features
Session by Certified Instructor
Advanced hands-on labs
Official training content
Industry-recognized certification
Interactive sessions
Obsah kurzu
1. Big Data AnalyticsBig Data
State of the Practice in Analytics
Data Scientist
Big Data Analytics in Industry Verticals
2. Data Analytics Lifecycle
Discovery
Data Preparation
Model Planning
Model Building
Communicating Results
Operationalizing
3. Basic Data Analytic Methods Using R
Using R to Look at Data
Analyzing and Exploring the Data
Statistics for Model Building and Evaluation
4. Advanced Analytics: Theory and Methods
K Means Clustering
Association Rules
Linear Regression
Logistic Regression
Nave Bayesian Classifier
Decision Trees
Time Series Analysis
Text Analysis
5. Advanced Analytics: Technologies and Tools
Analytics for Unstructured Data
MapReduce and Hadoop
Hadoop Ecosystem
In-Database Analytics: SQL Essentials
Advanced SQL and MADlib for In-Database Analytics
6. Putting it All Together
Operationalizing an Analytics Project
Creating the Final Deliverables
Data Visualization Techniques
Final Lab Exercise on Big Data Analytics
Cieľová skupina
Managers of teams of business intelligence, analytics, and big data professionalsCurrent business and data analysts looking to add big data analytics to their skills
Data and database professionals looking to exploit their analytic skills in a big data environment
Recent college graduates and graduate students with academic experience in a related discipline looking to move into the world of Data Science and big data
Individuals looking to take the EMC Proven Professional Data Scientist Associate (EMCDSA) certification
Skills Gained
Deploy the Data Analytics Lifecycle to address big data analytics projects
Reframe a business challenge as an analytics challenge
Apply appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results
Select appropriate data visualizations to clearly communicate analytic insights to business sponsors and analytic audiences
Use R and RStudio, MapReduce/Hadoop, in-database analytics, Windows, and MADlib functions
Use advanced analytics create competitive advantage
Data scientist role and skills vs. traditional business intelligence analyst
Certifikát
Na dotaz.
Hodnotenie
Organizátor
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