5 Weeks Only Data Science with Python Training Course Monterrey

Tech Training Solutions

5 Weeks Only Data Science with Python Training course is being delivered from April 19, 2021 - May 19, 2021 US Pacific Time

IT Training Center

<p><a href="https://techtraining.solutions/training-products/ols/products/data-science-training-for-beginnners" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">This event has been UPDATED since it was first published. View the Complete, UPDATED &amp; Detailed Data Science with Python Training Information here.</a></p><p>5 Weeks Only Data Science with Python Training course is being delivered from April 19, 2021 - May 19, 2021 for 20 Hours over 5 weeks, 10 sessions, 2 sessions per week, 2 hours per session.</p><ul><li>All Published Ticket Prices are in US Dollars</li><li>The course will be taught in English language</li></ul><h3></h3><h3>5 Weeks Only Data Science with Python Programming Training Course Schedule</h3><ul><li>April 19, 2021 - May 19, 2021 US Pacific time </li><li>5 Weeks | 2 Hours on Mondays, 2 Hours on Wednesdays every week US Pacific time</li><li>6:30 PM - 8:30 PM US Pacific time each of those days</li><li><a href="https://www.timeanddate.com/worldclock/converter.html?iso=20210420T013000&p1=234" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Please click here to add your city name and check your local date and time for the first session to be held on April 19, 2021 at  6:30 PM US Pacific Time.</a></li></ul><p></p><h3>Features and Benefits</h3><ul><li>20 Hours, 10 sessions, 5 weeks of total Instructor-led and guided training</li><li>Training material, instructor handouts and access to useful resources on the cloud provided</li><li>Practical Hands-on Lab exercises provided</li><li>Actual code and scripts provided</li><li>Real-life Scenarios</li></ul><ul><ul><h3></h3></ul></ul><h3>Course Prerequisites</h3><p>Some background in python programming may be helpful.</p><ul><p></p></ul><h3>Who can take this course?</h3><ul><li>Software engineers and data analysts</li><li>Business intelligence professionals</li><li>Those aspiring for a career in data science</li><li>Professionals and Students looking to enter the Data Science industry</li></ul><p></p><h3>Course Outline*</h3><p><em>*The actual course content covered during the training may  slightly vary based on the background  and expectations of the students and instructor preference. </em></p><p>1. Descriptive Statistics</p><ul><li>Mean/Median</li><li>Variance/ Std Deviation</li><li>Quartile/Box Plot/IQR/Percentile</li><li>Outlier</li><li>Z Score</li><li>Co-variance / Co-relation</li></ul><p>2. Inferential Statistics and Exploratory Data Analysis </p><ul><li>Probability and Random Variables</li><li>Population and Sample</li><li>Normal Distribution, Binomial Distribution</li><li>Testing of Hypothesis</li><li>t Test / ANOVA/ Chi Square Test</li></ul><p>3. Machine Learning Models</p><ul><li>Linear Regression</li><li>Logistic Regression</li><li>Naïve Bayes</li><li>K Nearest Neighbors</li><li>Decision Tree</li><li>Support Vector Machine</li><li>Ensemble Techniques</li></ul><p>4. Advanced Machine Learning Techniques</p><ul><li>Model Evaluation</li><li>Ridge Regression</li><li>Lasso Regression</li><li>Grid Search Cross validation</li></ul><p>5. Unsupervised Learning</p><ul><li>Clustering</li><li>PCA</li><li> Apriori Algorithm</li></ul><p>6. Time Series Forecasting</p><ul><li>Moving Average</li><li>Exponential Moving Average</li><li>ARIMA</li></ul><p></p>