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 Weekends Only Data Science with Python Training course is being delivered from February 6, 2021 - March 7, 2021 for 20 Hours over 5 weekends, 10 sessions, 2 sessions per weekend, 2 hours per session.
- All Published Ticket Prices are in US Dollars
- The course will be taught in English language
5 Weekends Only Data Science with Python Training Schedule
- February 6, 2021 - March 7, 2021 US Pacific time
- 5 Weekends | 2 hours on Saturdays, 2 hours on Sundays every week US Pacific time
- 7:30 AM - 9:30 AM 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 February 6, 2021 at 7:30 AM US Pacific Time.
Features and Benefits
- 20 Hours, 10 sessions, 5 weekends 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
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
Event Venue & Nearby Stays
IT Training Center, Tech Training Solutions, Phoenixville, United States
USD 400.00 to USD 500.00