Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Introduction And What You Will get When You Join 00:03:00 Who We Are. 00:05:00 Qucik Intro To Raspberry Pi World 00:06:00 10 Uses for Raspberry Pi Board 00:03:00 Very Important Note: Review Process 00:00:00 Different Versions of Raspberry Pi 00:03:00 Raspberry Pi Components 00:03:00 OS Versions Available for Raspberry Pi 00:07:00 Arduino Vs Raspberry Pi Vs BeagleBone 00:07:00 Course Material Works With Any High Tech Board! 00:02:00 Running The Raspberry Pi Board What Do You Need To RunThe Raspberry Pi 00:06:00 Getting OS and Running Raspberry Pi 00:09:00 Setting Up Raspberry Pi for the First Time 00:04:00 Simulating Raspberry Pi 00:05:00 Raspberry Pi Hardware and Starter Kit That Can be Used With it Simple Starter Kit 00:07:00 Raspberry Pi Modeb B Unboxing 00:01:00 A tour inside Raspberry Pi Operating System A Tour Inside Raspberry Pi Operating System 00:04:00 Raspberry Pi Command Line 00:06:00 Updating Software Packages 00:06:00 Control Raspberry Pi Board From Another Device Control Raspberry Pi From Another Device Using SSH 00:04:00 Control Raspberry Pi From Another Device Using VNC Server 00:08:00 Assign A fix IP Address for Raspberry Pi Board 00:04:00 Connecting Raspberry Pi to another computer using Network Cable 00:04:00 Control General Purpose Input Output Programming GPIO With Python 00:04:00 Python and Your First Code 00:08:00 Installing the Control Library 00:03:00 Practical Examples Example 1 Blinking Led 00:07:00 Example Two Reading Input Values From A Switch 00:03:00 Example Three Running the Led Using LDR 00:03:00 Example Four PIR Motion Detector 00:04:00 Additional Components and Notes BCM Numbering Instead of Numbering by Order 00:02:00 Adafruit Protection Box and Connection Cable 00:02:00 The End 00:02:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
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Learn to make interactive apps using Swift 4.2 and Xcode 10 and have your own applications in the App Store in just 10 days
Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Data Science for Marketing Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.