When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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. Extensive labs throughout the course provide you with the opportunity to apply these methods and tools to real world business challenges using 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 Data Scientist Associate (EMCDSA) certification exam and establish a baseline of Data Science skills.
Skills Gained
- Immediately participate as a data science team member
- Work with large data sets and generate insights
- Build predictive and classification models
- Manage a data analytics project through the entire lifecycle
Who Can Benefit
- Managers of business intelligence, analytics, and big data professionals teams
- Current 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 Data Scientist Associate (EMCDSA) certification
Prerequisites
To successfully complete this course and gain the maximum benefits from participation, you should have the following knowledge and skill sets:
- A strong quantitative background with a solid understanding of basic statistics, as would be found in a statistics 101 level course
- Experience with a scripting language such as Java, Perl, or Python (or R). Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open source statistical tool and programming
- Experience with SQL
Course Details
1. Big Data Analytics
- Big 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
2012-09-05 13:51:04.617000000
Does the course schedule include a Lunchbreak?
Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.
How can someone reach me during class?
If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an ExitCertified training location?
We have training locations across the United States and Canada. View a full list of classroom training locations.
Which delivery formats are available?
At ExitCertified we offer training that is Instructor-Led, Online, Virtual and Self-Paced.
Does ExitCertified deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
Does ExitCertified deliver group training?
Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.
The class provided by ExitCertified was well put together, with a great instructor and thorough course materials.
training was very well organized in terms of material, presentation, instructor expertise.
It was a very robust and well polished tool that helped greatly with the learning process.
I loved the class from ExitCertified, the Instructor Sean Mohseni explained the concepts in a very clear manner with real world example that helped me understand the AWS Services in depth.
Thank you ExitCertified (Tech Data) for the professional work and continuous support to your partners.
0 options available
There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.
Contact Us
1-800-803-3948