16 Hours Only Data Analytics Training Course in Dublin

Tech Training Solutions

16 Hours Only Data Analytics Training course is a Instructor-led and guided training being delivered April 27, 2021 - May 20, 2021.

IT Training Center

<p>16 Hours Only Data Analytics training is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 4 Weeks, 2 sessions per week, 2 hours per session.</p><ul><li>The medium of instruction is English.</li><li>All Published Ticket Prices are in US Dollars.</li></ul><h3></h3><h3>16 Hours Data Analytics Training Course Schedule</h3><ul><li>April 27, 2021 - May 20, 2021 US Pacific time </li><li>4 Weeks | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time</li><li>8:30 AM - 10:30 AM US Pacific time each of those days</li><li><a href="https://www.timeanddate.com/worldclock/converter.html?iso=20210427T153000&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 27, 2021 at  8:30 AM US Pacific Time.</a></li></ul><p></p><h3>Features and Benefits</h3><ul><li>4 weeks, 8 sessions, 16 hours 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><p></p><h3>What you will learn?</h3><ul><li>What is Data Analytics</li><li>How to prepare and analyze data</li><li>When and How to use SQL for Data Analytics </li><li>When and how to use Python and Pandas for Data Analytics</li><li>Data Visualization</li></ul><p></p><h3>Who should attend</h3><ul><li>Anyone who is interested in learning Data Analytics.</li></ul><p></p><h3>Prerequisites</h3><ul><li>You don't any background in python or data analysis</li><li>Basic computer literacy</li></ul><p></p><h3>Course Outline</h3><p>1. Introduction to Data Analytics</p><p>2. Learn how to prepare and analyze data</p><p>3. Data Analytics Process</p><ul><li>Accessing Data</li><li>Importing Data</li><li>Understanding data and meaning of data</li><li>Data Cleansing</li><li>Data Transformation</li><li>Preparing for Data Visualization</li></ul><p>4. Data Analysis and Business</p><ul><li>Understanding business requirements and business rules </li><li>Interpreting and preparing data according to business requirements</li></ul><p>5. Applying Database and SQL Concepts to Data for Data Analytics </p><ul><li>Joins</li></ul><p>6. Using Python and Pandas for Data Analytics</p><p>1) Python:</p><ul><li>Data Types</li><li>Operators</li><li>Decision Making</li><li>Loops</li><li>String,List,Tuple functions</li><li>List Functions</li><li>Tuple functions</li><li>Functions</li><li>Date and Time</li><li>Regular Expressions</li></ul><p>2) Pandas:</p><ul><li>Data Types</li><li>Descriptive Statistics</li><li>Function Table/row/column wise</li><li>Iterating through Dataframe</li><li>Sorting</li><li>Series String Functions</li><li>Indexing and Selecting data</li><li>Group_By</li><li>Merging of Data, Concatenation</li><li>Date and Time</li><li>SQL statements in Pandas</li></ul><p>7. Data Visualization Methods and Techniques</p><p></p><p></p><p></p>