657 Business Analytics & Intelligence courses in Liverpool delivered Online

Overview Master the art of using your intelligence and critical thinking ability to analyse crimes and criminals with the Intelligence Analysis Training course. This course aims to help you develop your abilities to pursue a career in the field of criminal investigation. Our online training course will help you grasp the essentials of intelligence analysis in no time. The course will help you grasp a clear understanding of the intelligence cycle. Then, the course will describe the analysis process in detail. Furthermore, you will be able to learn about intelligence and national security.  By the end of the course, you will acquire the key skills to fill the role and responsibilities of an intelligence analyst. So, if you have the passion to build a fruitful career, enrol today and build your skills! Course Preview Learning Outcomes Understand the core concepts of intelligence analysis Enhance your knowledge of the intelligence cycle Build your expertise in the analysis process Learn about the legal issues and ethics related to Familiarise yourself with the role and responsibilities of an intelligence analyst Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Intelligence analysis Critical thinking Problem-solving Who Should Take This Intelligence Analysis Training? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Intelligence Analysis Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Intelligence Analysis Training Certification After completing and passing the Intelligence Analysis Training successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Intelligence Analysis Training will equip you with effective skills and abilities and help you explore career paths such as  Crime Investigator Police Detective Criminal Intelligence Analyst Module 01: Defining Intelligence Analysis Defining Intelligence Analysis 00:46:00 Module 02: Development Of Intelligence Analysis Development of Intelligence Analysis 00:49:00 Module 03: The Intelligence Cycle The Intelligence Cycle 00:35:00 Module 04: Critical Thinking And Structuring Critical Thinking and Structuring 00:39:00 Module 05: Analysis Process And Best Practice Intelligence Analysis and Best Practice 01:00:00 Module 06: Intelligence And National Security Intelligence and National Security 00:45:00 Module 07: Legal Issues And Ethics Legal Issues and Ethics 00:42:00 Module 08: Your Role, Responsibilities, And Functions As An Analyst Your Role, Responsibilities, and Functions as an Analyst 00:45:00 Assignment Assignment - Intelligence Analyst Certification Course 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Deal with large numbers and key information in this Big Data Course Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Innovative Course will solve all of your problems! Big data is a term that describes the large volume of data - both structured and unstructured - that inundates a business on a day-to-day basis. Interpreting data is of immense importance when you handle data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make your own database and reap its benefits. Since there are people who do not like to deal with database, scripts and all the technical parts, this hinders them to start learning because they already have the mindset that it is difficult. Understanding Big Data course will give you a clear perception on how to deal with large data and ways you can easily handle them. This course has multiple units designed to help your data managing skills. Course Highlights Understanding Big Data is an award winning and the best selling course that has been given the CPD Certification & CiQ accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Understanding Big Data into 6 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 6 hours hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Understanding Big Data Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Understanding Big Data is CPD certified and CiQ accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Understanding Big Data is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and CiQ accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Understanding Big Data What Is Big Data? Hint: You're a Part of It Every Day FREE 01:00:00 Why Is Big Data Important? FREE 01:00:00 Why IBM for Big Data? 01:00:00 All About Hadoop: The Big Data Lingo Chapter 01:00:00 InfoSphere BigInsights: Analytics for Big Data at Rest 01:00:00 IBM InfoSphere Streams: Analytics for Big Data in Motion 01:00:00 Mock Exam Final Exam

Course Description Get instant knowledge from this bite-sized Criminal Intelligence Analyst Part - 2 course. This course is very short and you can complete it within a very short time. In this Criminal Intelligence Analyst Part - 2 course you will get fundamental ideas of criminal intelligence, the key understanding of decision making in criminal intelligence analysis, counterterrorism and so on. Enrol in this course today and start your instant first step towards learning about decision making in criminal intelligence analysis. Learn faster for instant implementation. Learning Outcome Familiarise with intelligence analysis Understand criminal intelligence analysis Understand criminal psychology Learn about the skills and competencies of a criminal intelligence analyst Know the research methods in crime analysis How Much Do Intelligence Officers Earn? Senior - £131,000 (Apprx.) Average - £91,000 (Apprx.) Starting - £63,000 (Apprx.) Requirement Our Criminal Intelligence Analyst Part - 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Criminal Intelligence Analyst Part - 2 Module 01: Decision Making in Criminal Intelligence Analysis 00:17:00 Module 02: Intelligence-Led Policing 00:21:00 Module 03: Counterterrorism and Criminal Intelligence Analysis 00:21:00 Module 04: Technology in Criminal Intelligence Analysis 00:20:00 Module 05: The Criminal Justice System in England and Wales 00:18:00 Assignment Assignment - Criminal Intelligence Analyst Part - 2 00:00:00

Course Description Get instant knowledge from this bite-sized Criminal Intelligence Analyst Part - 1 course. This course is very short and you can complete it within a very short time. In this Criminal Intelligence Analyst Part - 1 course you will get fundamental ideas of criminal intelligence, the key understanding of criminal intelligence analysis, criminal psychology and so on. Enrol in this course today and start your instant first step towards learning intelligence analysis. Learn faster for instant implementation. Learning Outcome Familiarise with intelligence analysis Understand criminal intelligence analysis Understand criminal psychology Learn about the skills and competencies of a criminal intelligence analyst Know the research methods in crime analysis How Much Do Intelligence Officers Earn? Senior - £131,000 (Apprx.) Average - £91,000 (Apprx.) Starting - £63,000 (Apprx.) Requirement Our Criminal Intelligence Analyst Part - 1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Criminal Intelligence Analyst Part - 1 Module 01: Introduction to Intelligence Analysis 00:19:00 Module 02: Criminal Intelligence Analysis 00:21:00 Module 03: Criminal Intelligence Analyst - Skills and Competencies 00:15:00 Module 04: Understanding Criminal Psychology 00:36:00 Module 05: Research Methods in Crime Analysis 00:28:00 Assignment Assignment - Criminal Intelligence Analyst Part - 1 00:00:00

Overview Criminal intelligence involves gathering and analysing information to predict and monitor illegal activity. Gain the relevant skills in criminal intelligence and by taking this Criminal Intelligence Analyst Training.  This Criminal Intelligence Analyst Training course will provide you with a thorough introduction to criminal intelligence analysis. The valuable lectures will guide you through criminal psychology, crime analysis research methods, and criminal intelligence analysis decision-making. The course will also educate you about counterterrorism and technology in criminal intelligence analysis.  Learning Outcomes Discover the skills of a criminal intelligence analyst Gain an excellent understanding of criminal psychology Know about the research methods in crime analysis Learn about counterterrorism and criminal intelligence analysis Understand how technology is used in crime analysis Why You Should Choose Criminal Intelligence Analyst Training Course Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment, and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential Who is this Course for? The Criminal Intelligence Analyst Training Course is for anyone interested in gaining the relevant skills in criminal intelligence analysis. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Criminal Intelligence Analyst Training Course is fully compatible with any kind of device. Whether you are using a Windows computer, Mac, smartphone or tablet, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path This course will provide you with the necessary knowledge and skills required to succeed in this sector. You will be ready to enter the relevant job market after completing this course. On top of that, the course will enhance your ability to earn an average salary of £52,500 annually.  Criminal Intelligence Analyst Training Module 01: Introduction to Intelligence Analysis 00:19:00 Module 02: Criminal Intelligence Analysis 00:21:00 Module 03: Criminal Intelligence Analyst - Skills and Competencies 00:15:00 Module 04: Understanding Criminal Psychology 00:36:00 Module 05: Research Methods in Crime Analysis 00:28:00 Module 06: Decision Making in Criminal Intelligence Analysis 00:17:00 Module 07: Intelligence-Led Policing 00:21:00 Module 08: Counterterrorism and Criminal Intelligence Analysis 00:21:00 Module 09: Technology in Criminal Intelligence Analysis 00:20:00 Module 10: The Criminal Justice System in England and Wales 00:18:00 Assignment Assignment - Criminal Intelligence Analyst Training 02:00:00

Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert

Description:  The significance of Big Data in terms of web presence and advertisement is very important to reach out to your customers and potential customers. In this course, you will learn how to tweak your account to achieve the maximum result. By the end of this course, you will learn about the marketing tips, traffic, tools, and add-on that could help in your success. Who is the course for? Professionals who want to learn how to become profitable through Twitter Social Marketing People who have an interest in Social Marketing and promote through Twitter Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Understanding Big Data Course will be very beneficial and helpful, especially to the following careers: Businessman Marketing and Promotions Specialist Marketing Manager Online Content Creator Sales Manager Sales and Promotions Specialist Social Media Specialist. Understanding Big Data What Is Big Data? Hint: You're a Part of It Every Day 01:00:00 Why Is Big Data Important? 01:00:00 Why IBM for Big Data? 01:00:00 All About Hadoop: The Big Data Lingo Chapter 01:00:00 InfoSphere BigInsights: Analytics for Big Data at Rest 01:00:00 IBM InfoSphere Streams: Analytics for Big Data in Motion 01:00:00 Mock Exam Mock Exam-Understanding Big Data 00:20:00 Final Exam Final Exam-Understanding Big Data 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required. Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: Understand the benefits of distributed computing Understand the Hadoop architecture (including HDFS and MapReduce) Define administrator participation in Big Data projects Plan, implement, and maintain Hadoop clusters Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.) Plan, deploy and maintain HBase on a Hadoop cluster Monitor and maintain hundreds of servers Pinpoint performance bottlenecks and fix them Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Hadoop provides an excellent platform (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence. This is an introductory-level, hands-on lab-intensive course geared for the administrator (new to Hadoop) who is charged with maintaining a Hadoop cluster and its related components. You will learn how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Introduction Hadoop history and concepts Ecosystem Distributions High level architecture Hadoop myths Hadoop challenges (hardware / software) Planning and installation Selecting software and Hadoop distributions Sizing the cluster and planning for growth Selecting hardware and network Rack topology Installation Multi-tenancy Directory structure and logs Benchmarking HDFS operations Concepts (horizontal scaling, replication, data locality, rack awareness) Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode) Health monitoring Command-line and browser-based administration Adding storage and replacing defective drives MapReduce operations Parallel computing before MapReduce: compare HPC versus Hadoop administration MapReduce cluster loads Nodes and Daemons (JobTracker, TaskTracker) MapReduce UI walk through MapReduce configuration Job config Job schedulers Administrator view of MapReduce best practices Optimizing MapReduce Fool proofing MR: what to tell your programmers YARN: architecture and use Advanced topics Hardware monitoring System software monitoring Hadoop cluster monitoring Adding and removing servers and upgrading Hadoop Backup, recovery, and business continuity planning Cluster configuration tweaks Hardware maintenance schedule Oozie scheduling for administrators Securing your cluster with Kerberos The future of Hadoop

Criminal intelligence and crime analysis are important tools used by law enforcement agencies to help identify and solve crimes. Criminal intelligence involves gathering, analysing, and disseminating information about criminal activity and potential threats. In contrast, crime analysis involves using data and other information to identify patterns and trends in criminal activity, which can help law enforcement agencies to better allocate their resources and develop strategies to prevent and solve crimes. Criminal intelligence and crime analysis are important and growing fields within law enforcement. Gaining expertise in these areas can open up opportunities for advancement and leadership roles within an agency. In addition to traditional law enforcement roles, there is also a wide range of non-law enforcement jobs in the field of criminal intelligence and crime analysis, including positions in government agencies, private consulting firms, and other organisations. Many of these positions require a strong background in data analysis, research, and critical thinking, which can be gained through training and education in criminal intelligence and crime analysis. Learning Outcomes: Intelligence cycle: The process of collecting, analysing, and disseminating intelligence, including the use of various sources of information and the importance of accuracy and timeliness. Crime analysis: Techniques for analysing crime data and identifying patterns, trends, and hot spots. Intelligence-led policing: The use of intelligence to inform policing strategies and tactics. Criminal psychology: Understand criminal psychology, counterterrorism and criminal intelligence analysis Enrol in the Criminal Intelligence and Crime Analysis course and learn a new professional skill from anywhere, at any time! Why choose Criminal Intelligence and Crime Analysis? Opportunity to boost your CV/Resume with CPD accredited proficiency Student ID card with amazing discounts - completely for FREE! (Postal charges will be applicable for international delivery) Instant results upon completion of each assessment Certificates available in both PDF and hard copy format Interactive, high-quality course content with 24/7 online access Full tutor support and learning assistance included Criminal intelligence and crime analysis involve using data and other information to identify patterns and trends in criminal activity and to help law enforcement agencies prevent and solve crimes. Criminal intelligence involves gathering and analysing information about potential threats and criminal activity and disseminating this information to relevant parties. ***Course Curriculum*** Here are the topics you will cover on the Criminal Intelligence and Crime Analysis Course. ***Criminal Intelligence and Crime Analysis*** Module 01: Introduction to Intelligence Analysis Module 02: Criminal Intelligence Analysis Module 03: Criminal Intelligence Analyst - Skills and Competencies Module 04: Understanding Criminal Psychology Module 05: Research Methods in Crime Analysis Module 06: Decision Making in Criminal Intelligence Analysis Module 07: Intelligence-Led Policing Module 08: Counterterrorism and Criminal Intelligence Analysis Module 09: Technology in Criminal Intelligence Analysis Module 10: The Criminal Justice System in England and Wales Assessment Process Once you have finished the learning stages in the course, your abilities will be assessed by an automated multiple-choice question session, after which you will receive the results immediately. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Criminal Intelligence and Crime Analysis has been professionally-designed for motivated learners who are looking to add a new skill to their CV and stand head and shoulders above the competition. Learn the latest industry-specific information with the course and Crime Analysis. Enrol on the Criminal Intelligence and Crime Analysis and learn a new professional skill from anywhere, at any time! Requirements Enrol on the Criminal Intelligence and Crime Analysis with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register on the Criminal Intelligence and Crime Analysis without any delay. We only ask that all students have a passion for learning and literacy, and be over the age of 16. Complete the Criminal Intelligence and Crime Analysis online from your computer, tablet, or smartphone, and learn in a way that suits you. Career path The Criminal Intelligence Analyst course may open up new employment opportunities and expand your career opportunities. Such as: - Investigating Officer Intelligence Officer Investigative Support Assistant Crime Scene Investigator Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm