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Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Functional Skills English is all you need to advance your career in the relevant fields. Enrol now to discover everything you need to know about Functional Skills English and the skills to improve your talents in this field and be confident in your knowledge bucket with One Education as your right hand! Meet the Accreditation CPD Quality Standards (CPD QS) accreditation assures the Functional Skills English course training and learning activities are relevant, reliable, and up to date. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Module 01: Linguistics Module 02: Teaching Grammar and Vocabulary Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Question Module 06: Punctuation & Capitalisation Module 07: Spelling Module 08: English Pronunciation Module 09: Teaching Receptive Skills: Reading Module 10: Teaching Productive Skills: Writing Module 11: Teaching Receptive Skills: Listening Module 12: Teaching Productive Skills: Speaking Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Functional Skills English course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Functional Skills English course is open to all, with no formal entry requirements. Career path Upon successful completion of the Functional Skills English Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Are you looking to enhance your Functional Skills English Level 1 & 2 skills? If yes, then you have come to the right place. Our comprehensive courses on Functional Skills English Level 1 & 2 will assist you in producing the best possible outcome by learning the bundle. This Functional Skills English Level 1 & 2 Bundle Includes Functional Skills English Level 1 Course Functional Skills English Level 2 Course So, enrol in our Functional Skills English Level 1 & 2 bundle now! Other Benefits Lifetime Access to All Functional Skills English Learning Resources An Interactive, Online Functional Skills English Course A Product Created By Experts In The Functional Skills English Field Self-Paced Instruction And Laptop, Tablet, And Smartphone Compatibility 24/7 Learning Support with the Functional Skills English Course Free Certificate After Functional Skills English Course Completion Course Curriculum: Functional Skills English Level 1 Module 01: Introduction to the Course. Module 02: Basics of Grammar. Module 03: The Basics of Sentence, Module 04: Structure of Sentence. Module 05: Questions. Module 06: Punctuation and Capitalisation. Module 07: Spelling. Module 08: Common Mistakes and Ways to Improve. Course Curriculum: Functional Skills English Level 2 Module 01: Linguistics Module 02: Teaching Grammar and Vocabulary Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Questions Module 06: Punctuation and Capitalisation Module 07: Spelling Module 08: English Pronunciation Module 09: Reading Module 10: Writing Module 11: Listening Module 12: Speaking CPD 30 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Functional Skills English course. Requirements To enrol in this Functional Skills English Level 1 & 2 all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Functional Skills English Level 1 & 2. Certificates Certificate of completion Digital certificate - Included Get 3 CPD accredited PDF certificate for Free. Certificate of completion Hard copy certificate - £9.99 Get 3 CPD Accredited Hardcopy Certificate For 9.99 each. The delivery charge for the hardcopy certificate inside the UK is £3.99 each and international students need to pay £9.99 each to get their hardcopy certificate.

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English is a must-have skill in today's world, regardless of the sector. So,if you are looking for ways to improve your skills in English for personal and professional development, you can count on us. Our Functional Skills English Level 2 will help you get where you need to! We will make sure that you fully grasp the fundamentals of grammar, the fundamentals of sentences, and the structure of sentences, including parts of speech, articles, parts and kinds of sentences, simple, complex, and compound sentences, voice, tense, modifiers, and many others, in this Functional Skills English Level 2 course. The course covers key topics such as reading, writing, speaking, and listening. It will allow students to practise and improve their language skills through interactive activities and exercises. This course will help you become a confident user of English and use it as a potent capital in the job market. Enrol yourself and be efficient in Improving reading, writing, speaking, and listening skills in English. Enhancing grammar, punctuation, and vocabulary. Developing the ability to communicate in English effectively. Practising and improving language skills through interactive activities and exercises. Preparing for personal or professional advancement opportunities requires a functional English language proficiency level. Key Features: Instant FREE PDF certificate and a hard copy included Fully online, interactive course with audio voiceover Developed by qualified professionals Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum of Functional Skills English Level 2 The detailed curriculum outline of our Functional Skills English Level 2 course is as follows: Module 01: Linguistics Module 02: Teaching Grammar and Vocabulary Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Question Module 06: Punctuation & Capitalisation Module 07: Spelling Module 08: English Pronunciation Module 09: Teaching Receptive Skills: Reading Module 10: Teaching Productive Skills: Writing Module 11: Teaching Receptive Skills: Listening Module 12: Teaching Productive Skills: Speaking Accreditation All of our courses, including this course, are fully CPD accredited. Certification Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed English certificate delivered by post (shipping cost £3.99). Assessment At the end of the course, there will be an online assessment, which you will need to pass to complete the course. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Functional Skills English Level 2 online course is designed for a diverse group of people who are looking to improve their English language skills. This course is particularly beneficial for non-native English speakers who are looking to improve their language proficiency for personal or professional reasons. The course is also ideal for students who are preparing for academic or professional qualifications that require a functional level of English. Additionally, workers in industries that require good English language proficiency will also benefit from this course. Career path Our program will assist students in advancing their careers in the following areas: English Language Teacher: £20,000-£40,000 per year. Customer Service Representative: £18,000-£25,000 per year. Technical Writer: £25,000-£40,000 per year. Content Creator: £20,000-£35,000 per year. Translator: £20,000-£40,000 per year. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Do you want to speak, listen, read or even write English fluently and confidently? No more insecurities while communicating with your foreign friends because we bring you your ultimate solution through our elaborate Functional Skills English Level 2 course! This in-depth course is for anyone and everyone who thinks their English needs improvement and seeks skills that can be applied practically without fear. The Functional Skills English Level 2 Course is all you need to advance your career in relevant fields. Why learn English instead of one of the 6,500 other languages that are currently spoken worldwide? English is used frequently worldwide as a commercial or diplomatic language and is the third most widely spoken language in the world. It is taught and spoken in more than 118 nations. Science, aviation, computing, diplomacy, and tourism all use it. So, this Functional Skills English Level 2 will not only teach English but proper functional English which will help boost your communication skills and even increase your job alternatives. You will be able to apply for positions in various professions, including teaching, nursing, policing, and the fire service, to name a few. Build a solid foundation of English, be it about sentence structure and arrangement, grammar and whatnot! If your spelling and vocabulary knowledge is not up to the mark where you desire to be, you can refine it with the help of this comprehensive course. We at One Education are constantly working passionately and with full dedication for you to meet your needs and succeed wherever you go. Enrol now to discover everything you need to know about English skills to improve your talents in this field. Be confident in your knowledge bucket with One Education as your right hand! Learning Outcomes: From this helpful Functional Skills English Level 2 course, you will be able to: Get to know the basics of sentences. Comprehend linguistics and teach vocabulary and grammar. Learn about capitalisation, punctuation, and questions. Knowledge of receptive skills such as reading, listening, writing and speaking. Know everything about spelling. Meet the Endorsement The Quality Licence Scheme has been designed specifically to recognise high-quality courses. The course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject. Meet the Accreditation CPD Quality Standards (CPD QS) accreditation assures the Functional Skills English Level 2 course training and learning activities are relevant, reliable, and up to date. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Curriculum Breakdown: Module 01: Linguistics Module 02: Teaching Grammar and Vocabulary Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Question Module 06: Punctuation & Capitalisation Module 07: Spelling Module 08: English Pronunciation Module 09: Teaching Receptive Skills: Reading Module 10: Teaching Productive Skills: Writing Module 11: Teaching Receptive Skills: Listening Module 12: Teaching Productive Skills: Speaking How is the Functional Skills English Level 2 Course assessed? To simplify the procedure of evaluation and accreditation for Functional Skills learners, we provide an automated assessment system. Upon completion of an online module of the course, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Non-native English speakers looking to improve their communication skills Individuals who want to enhance their career prospects Students preparing for further education Anyone who wants to improve their reading, writing, listening, and spe Requirements There are no specific prerequisites to enrol in this Functional Skills English Level 2 course. Anyone and everyone can take this course. Career path This course can help you enhance your business analysis skills while also preparing you for a variety of exciting career prospects, such as: Teacher (salary range: £25,714 to £41,604 per annum) Blogger (salary range: £29,157 to £33018 per annum) Content Writer (salary range: £19,000 to £23,000 per annum) Translator (salary range: £26,556 to £30,652 per annum) Journalist Certificates Certificate of completion Digital certificate - £9 Certificate of completion Hard copy certificate - £69 QLS Endorsed Certificate Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £69 International: £69 + £10 (postal charge) = £79 CPD Accredited Certification from One Education Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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.