R and Data Science - Online Instructor Led - Starting 10/26/2019 -Registrations Closed

6 weeks of live and interactive online mini-training program in Data Science and Advanced Analytics using R

Beginner 0(0 Ratings) 8 Students enrolled
Created by ALMPG Moderator Last updated Sat, 02-Nov-2019 English
What will i learn?
  • You will learn basics of R and how it is used in Data Science and Advanced Analytics

Curriculum for this course
38 Lessons 00:00:00 Hours
Week 1: R/R Studio Installation, and R Crash Course
3 Lessons 00:00:00 Hours
  • Installing R
  • Installing RStudio
  • Crash Course in R
  • Data Science Process
  • CRISP-DM
  • Decisions First
  • Quantifying Business Problem
  • Identifying Y variable
  • Measure of Success
  • Stakeholders
  • Project Plan
  • Statistical Analysis (John T. 5 Numbers Summary)
  • Correlation
  • Variance & Covariance
  • Skewness & Kurtosis
  • Missing Values & Outliers
  • Duplicates & redundant
  • Data Visualization (Histograms, Bar Plot, Scatter Plot, Box Plot)
  • Data Viz
  • Data Auditing
  • Fix Data Quality issues (Skewness, Dups, Missing values, Outliers)
  • Hands on experience with R
  • A Basic Algorithm to Build a Decision Tree
  • Methods for Expressing Attribute Test Conditions
  • Measures for Selecting an Attribute Test Condition
  • Algorithm for Decision Tree Induction
  • Characteristics of Decision Tree Classifiers
  • Strengths & Weaknesses
  • Hands on experience with R
  • Logistic Regression as a Generalized Linear Model
  • Learning Model Parameters
  • Characteristics of Logistic Regression
  • Strengths & Weaknesses
  • Margin of a Separating Hyperplane
  • Linear SVM
  • Soft-margin SVM
  • Nonlinear SVM
  • Characteristics of SVM
Requirements
  • Basic Laptop with Microsoft Office Tools
+ View more
Description

Important Announcement:

Our apologies for today's 10/26 session as it was held at 10 AM EST instead of 2 PM EST. For those who have missed today's session, we will make arrangements and update you by today EOD.

For new students who want to register, please reach out to us at [email protected]

We appreciate your understanding.

Details:

ALMPG is offering 6 weeks of live and interactive online mini-training programs in Data Science and Advanced Analytics using R.

Starting 10/26/2019, Every Saturday and Sunday , and 2 hours/day

Contact:

Ilyas Mohammad

[email protected]

+1 937-552-5674

www.almpg.com

Additional Info:

  • Once you enroll, we will email you the details for joining the course starting on Saturday 10/26
  • You will receive a certificate on the completion of the course
+ View more
Other related courses
About the instructor
  • 0 Reviews
  • 8 Students
  • 2 Courses
+ View more

ALMPG Team is partnering up with industry experts to bring career-focused education at a reasonable price for people who are willing to advance in their careers.

The training will be backed by support in regards to resume building, interview preparation and finding the jobs.

Instructor for PMP Session:

Hajara Alamoodi

https://www.linkedin.com/in/hajaraalamodi

Hajara Alamoodi is recognized as a 'Director to Watch' 2019 and named on the 'Top 100 People in Finance' list 2020. She is an experienced project manager, teacher, investor, and entrepreneur sharing rich experiences in project management, startup growth, valuation & funding advisory.

Her Experience:

Hajara Alamoodi is a PMP certified project manager and project management, PMP, CAPM, and PMI-ACP certification instructor.

She is Chief Project Officer at Teqlogica Corporation, a software and security services company. She has done many projects in software implementation, integration, business continuity, disaster recovery, service delivery, etc. She is also am a real estate developer and has done residential, infrastructure and commercial projects in India.

She has taught several students over the years. And a majority of them have passed the exam and are now PMP certified project managers.

Student feedback
0
Average rating
  • 0%
  • 0%
  • 0%
  • 0%
  • 0%
Reviews
$125 $500
Buy now
Includes:
  • 00:00:00 Hours On demand videos
  • 38 Lessons
  • Full lifetime access
  • Access on mobile and tv