Fall 2022 Data Analytics Fundamentals for IT Professionals - (Live Global Webinar)

When:  Oct 29, 2022 from 09:00 to 17:00 (ET)
Associated with  New York Metropolitan Chapter

The final class registration day will be closed on October 22nd, 2022 at 9 pm. No exceptions are made.

Discounted member rates apply to any chapter member in the world.

Note:  Due to COVID-19 This event will be online only
" Please register for this class using the private email address (Gmail,
yahoo, AOL, Hotmail address) and not your organizations' email address.
Many organizations block emails with attachments and block Webex
links"


Dates and Times: All times are New York time (Eastern Standard Time). Please click here to hear the time and date in your location.

Saturday, October 29th 2022  9:00 AM - 5 PM EST 

Prerequisite: Some experience in IT and IS Risk Management, Cybersecurity

Instructor: Jay Ranade, CISA, CISM, CRISC, CGEIT, CIA, CRMA, CISSP, ISSAP, CBCP, CDPSE, HCISPP

Who Should Attend? CISO, IT Risk Managers, IT professionals, IT Auditors, Security professionals, Cyber security professionals, IT managers, IT project managers, Cyber security auditors 


Training Duration: 1 days
Training Delivery Method: On-line during pandemic
Prerequisites:

Course Material:
Content-rich manual/course handouts consisting of about 80 slides from Jay Ranade

COURSE DESCRIPTION:

Here is what will be covered:

1. What is data analytics?
2. Variations of data analytics- Business Analytics, Predictive analytics, Big Data
3. Five Vs of analytics
4. Process and stages of data analytics
5. What you need to know, learn to do data analytics
6. Data analytics vs. Big Data vs. data mining
7. Data analytics in auditing (predictive analytics)
8. Data analytics – ML, DL, AI
9. Data analyst vs. data scientist vs. data engineer
10. Ten things will help – Apache Hadoop, Python, R, data mining, SQL, data structures
11. Which questions should be asked (big data) vs. answers to your questions (data analytics)
12. Types of analytics- diagnostic, descriptive, prescriptive, and predictive analytics
13. Low cost learning/certificate of data analytics- Google, IBM and others


CPE Credits: 7     Capacity: webinar - 15 people

Onsite Location: N/A

Live broadcast webinar location: Anywhere in the world

Very Important:

Onsite Location: N/A

Live broadcast webinar location: Anywhere in the world
Refund Policy: 80% refund on or before September 22, 2022. A refund must be requested in writing and will not be accepted after the said date. Cancellation/refund requests will not be awarded once class materials have been sent to the registrants. Anyone who has received the class materials will be required to pay the class fee in full.  Failures of payment will be banned from all chapter event until the outstanding balance are clear.

Very Important:
Anyone who fails to make a payment online will not be considered an attendee.  Anyone who has received the class materials will be required to pay the class fee in full.  Failures of payment will be banned from all chapter event until the outstanding balance are clear.

  • CPE  credits can be applied toward each ISACA designation that is held. Full  CPE credits will be awarded only if all sections of Exam Preparation classes have been attended.
  • Webinar sessions are not being recorded - it's a live broadcast.
  • You cannot switch between onsite and online sessions once decided.
  • Webinar access instructions are provided 5 days prior to the first day of class.
  • For webinar attendees, you can also test if you are able to connect to the gotowebinar website by following the instructions here: http://bit.ly/1JvcdSy