Create Event
Search results for:
No result found! Try with different keywords!
Advertisement
5 Weeks Only Data Science with Python Training Course Greenville

5 Weeks Only Data Science with Python Training Course Greenville

Mon Dec 21, 2020

5 Weeks Only Data Science with Python Training Course Greenville

Time Mon Dec 21 2020 at 08:30 pm to 10:30 pm

(add to calendar)

IT Training Center, Tech Training Solutions, Greenville, United States

USD 400
Find Tickets on eventbrite.com
Advertisement

5 Weeks Only Data Science with Python Training Course Greenville, 21 December | Event in Greenville | AllEvents.in 5 Weeks Only Data Science with Python Training Course Greenville
5 Weeks Only Data Science with Python Training course is being delivered from December 21, 2020 - January 20, 2021 US Pacific Time

About this Event

This event has been UPDATED since it was first published. View the Complete, UPDATED & Detailed Data Science with Python Training Information here.

5 Weeks Only Data Science with Python Training course is being delivered from December 21, 2020 - January 20, 2021 for 20 Hours over 5 weeks, 10 sessions, 2 sessions per week, 2 hours per session.

  • All Published Ticket Prices are in US Dollars
  • The course will be taught in English language


5 Weeks Only Data Science with Python Training Course Schedule
  • December 21, 2020 - January 20, 2021 US Pacific time
  • 5 Weeks | 2 hours on Mondays, 2 hours on Wednesdays every week US Pacific time
  • 5:30 PM - 7:30 PM US Pacific time each of those days
  • Please click here to add your location and check your local date and time for first session to be held on December 21, 2020 at 5:30 PM US Pacific Time.


Features and Benefits
  • 20 Hours, 10 sessions, 5 weeks of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands-on Lab exercises provided
  • Actual code and scripts provided
  • Real-life Scenarios

</ul></ul>
Course Prerequisites

Some background in python programming may be helpful.



Who can take this course?
  • Software engineers and data analysts
  • Business intelligence professionals
  • Those aspiring for a career in data science
  • Professionals and Students looking to enter the Data Science industry


Course Outline*

*The actual course content covered during the training may slightly vary based on the background and expectations of the students and instructor preference.

1. Descriptive Statistics

  • Mean/Median
  • Variance/ Std Deviation
  • Quartile/Box Plot/IQR/Percentile
  • Outlier
  • Z Score
  • Co-variance / Co-relation

2. Inferential Statistics and Exploratory Data Analysis

  • Probability and Random Variables
  • Population and Sample
  • Normal Distribution, Binomial Distribution
  • Testing of Hypothesis
  • t Test / ANOVA/ Chi Square Test

3. Machine Learning Models

  • Linear Regression
  • Logistic Regression
  • Naïve Bayes
  • K Nearest Neighbors
  • Decision Tree
  • Support Vector Machine
  • Ensemble Techniques

4. Advanced Machine Learning Techniques

  • Model Evaluation
  • Ridge Regression
  • Lasso Regression
  • Grid Search Cross validation

5. Unsupervised Learning

  • Clustering
  • PCA
  • Apriori Algorithm

6. Time Series Forecasting

  • Moving Average
  • Exponential Moving Average
  • ARIMA



Also check out other Workshops in Greenville.

Tickets

Tickets for 5 Weeks Only Data Science with Python Training Course Greenville can be booked here.

Get Tickets

Ticket Information Ticket Price
Early Bird USD 400
General Admission USD 500
Event Photos
Hosted by
Nearby Hotels IT Training Center, Tech Training Solutions, Greenville, United States
Event details from Report a problem ?

Event Information

Date & Time

Mon Dec 21 2020 at 08:30 pm to 10:30 pm
Add to Calendar

Location

IT Training Center, Tech Training Solutions, Greenville, United States

Advertisement
Advertisement
Make Your Events Easy to Discover

Create an online presence of your events and make them easy to discover & share with the relevant audience.

Create Events