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This course explains how huge chunks of data can be analyzed and visualized using the power of the data analyst toolbox. You will learn Python programming, advanced pivot tables' concepts, the magic of Power BI, perform analysis with Alteryx, master Qlik Sense, R Programming using R and R Studio, and create stunning visualizations in Tableau Desktop.
Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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.
Recent statistics indicate a soaring demand for proficiency in Microsoft Power BI & Microsoft Excel, reflecting these tools' indispensable role in modern data analytics and business intelligence. With the digital landscape evolving rapidly, organisations seek adept professionals capable of harnessing the power of data for strategic decision-making. Our comprehensive Microsoft Power BI & Microsoft Excel QLS Endorsed Diploma bundle, comprising a range of QLS endorsed and CPD QS accredited courses, is meticulously designed to equip learners with advanced skills in Microsoft Power BI & Microsoft Excel, alongside essential competencies in big data analytics and career development. In today's data-driven world, proficiency in Microsoft Power BI & Microsoft Excel is not merely advantageous but imperative. As businesses strive to extract actionable insights from vast datasets, the demand for skilled professionals proficient in these tools continues to surge. Our Microsoft Power BI & Microsoft Excel bundle offers a holistic approach, combining technical expertise with personal development modules, ensuring learners emerge as well-rounded professionals equipped to thrive in the competitive landscape of data analytics and business intelligence. Bundle Includes: QLS Endorsed Courses: Course 01: Advanced Diploma in Microsoft Power BI at QLS Level 7 Course 02: Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 CPD QS Accredited Courses: Course 03: Big Data Analytics with PySpark Power BI and MongoDB Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 05: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 06: Microsoft Office 365 Automation Course Course 07: Microsoft Outlook - 25 Must-Know Tips and Tricks Course 08: Microsoft Access - 25 Must-Know Tips and Tricks Course 09: Microsoft Excel - 25 Must-Know Formulas and Functions Course 10: Data Analysis and Forecasting in Excel Take your career to the next level with our Microsoft Power BI & Microsoft Excel bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 11: Career Development Plan Fundamentals Course 12: CV Writing and Job Searching Course 13: Networking Skills for Personal Success Course 14: Ace Your Presentations: Public Speaking Masterclass Course 15: Decision-Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Microsoft Power BI & Microsoft Excel bundle, endorsed by the prestigious QLS and accredited by CPD.Microsoft Power BI & Microsoft Excel QLS Endorsed Diploma. Learning Outcomes: Upon completion of this Microsoft Power BI & Microsoft Excel bundle course, participants will: Master advanced techniques in Microsoft Power BI & Microsoft Excel, enabling proficient data analysis and visualization. Develop expertise in big data analytics, leveraging tools like PySpark, Tableau Desktop, and MongoDB for enhanced data processing and interpretation. Acquire essential automation skills through the Microsoft Office 365 Automation Course, streamlining workflow processes and increasing productivity. Enhance communication and presentation abilities through networking, public speaking, and decision-making courses. Gain insights into effective career development strategies, including CV writing, job searching, and professional networking. Apply critical thinking skills to evaluate complex data sets and make informed business decisions. Embark on a transformative journey of skill enhancement with our comprehensive Microsoft Power BI & Microsoft Excel course bundle focusing on Microsoft Power BI & Microsoft Excel. Delve into advanced techniques and methodologies essential for proficient data analysis and visualization. Through a series of meticulously crafted modules, participants will master the intricacies of Power BI, enabling them to transform raw data into actionable insights. From creating interactive dashboards to conducting in-depth data analysis, learners will acquire the proficiency needed to navigate the complexities of modern data analytics with confidence and precision. In addition to honing technical expertise, participants will explore the realm of big data analytics, leveraging powerful tools such as PySpark, Tableau Desktop, and MongoDB. Dive deep into the world of data processing and interpretation, equipping yourself with the skills necessary to tackle large-scale datasets effectively. Through hands-on learning experiences and engaging course content of Microsoft Power BI & Microsoft Excel, individuals will emerge equipped to tackle real-world challenges in data analytics, poised to make meaningful contributions to their organizations' success. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Microsoft Power BI & Microsoft Excel course is ideal for: Professionals seeking to enhance their proficiency in Microsoft Power BI & Microsoft Excel. Individuals aspiring to pursue careers in data analytics and business intelligence. Students and recent graduates looking to bolster their skill set for employment opportunities. Entrepreneurs aiming to leverage data-driven insights for business growth. Professionals seeking to advance their career prospects through enhanced communication and presentation skills. Individuals keen on developing a strategic approach to career development and networking. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of this Microsoft Power BI & Microsoft Excel bundle course, participants can pursue diverse career paths, including: Data Analyst Business Intelligence Analyst Data Scientist Financial Analyst Business Consultant Project Manager IT Manager Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 2 QLS Endorsed Certificates Hard copy certificate - Included
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Career path This Data Analyst Job Ready Program will help you get a job in different roles, such as: Entry-Level Data Analyst: £25,000 - £35,000 Mid-Level Data Analyst: £35,000 - £60,000 Senior Data Analyst: £50,000 - £80,000 Data Scientist: £40,000 - £100,000 Data Analytics Manager: £60,000 - £100,000 Business Intelligence Analyst: £30,000 - £75,000 Machine Learning Engineer: £45,000 - £80,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included
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