5659 Software courses in Glasgow delivered Online

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Selling is a transferable essential skill, regardless of the position, product, or service you are involved in professionally.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success. Get Free 1 QLS Endorsed Course with Certificate & 10 Additional CPD Accredited Courses In A Single Payment. This Data Analyst (Data Analytics) Bundle Package includes: Course 01: Diploma in Data Analysis at QLS Level 5 10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) - Course 01: Data Analytics with Tableau Course 02: Data Science & Machine Learning with R Course 03: Excel Pivot table for Data analytics Course 04: JavaScript Functions for Data Analyst Course 05: Data analytics with Excel Course 06: Mastering SQL Programming for Data Analyst Course 07: Google Data Studio Course 08: Business Intelligence and Data Mining for Data Analyst Course 09: GDPR Training Course 10: Learn Programming with Python Learning outcome of this Data Analyst (Data Analytics) Bundle: Apply data analyst techniques to modify worksheets effectively. Utilise data analyst strategies for working with lists. Demonstrate proficiency in analyzing data as a data analyst. Visualize data using charts as a data analyst. Employ PivotTables and Pivot Charts for complex Data Analyst Manage multiple worksheets and workbooks efficiently as a data analyst. Use lookup functions and formula auditing for accurate Data Analyst Why Prefer This Data Analyst (Data Analytics) Bundle? FREE certificate on Data Analyst (Data Analytics)accredited by CPDQS Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst (Data Analytics) bundle materials Data Analyst (Data Analytics) comes with 24/7 tutor support Free assessments available with Data Analyst (Data Analytics) Get a free student ID card! with Data Analyst (Data Analytics) Assessment Process of Data Analyst (Data Analytics) Course: You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics) Requirements You will not need any prior background or expertise to take this Data Analyst (Data Analytics) Career path Data Analyst Retail Data Analyst Statistical Data Analyst Certificates CPD Accredited e-Certificate Digital certificate - Included Diploma in Data Analysis at QLS Level 5 Hard copy certificate - Included

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Remote training session for Xero Accounting and Payroll software.

Remote training session for FreeAgent Accounting and Payroll software.

Remote training session for Sage Accounting and Payroll software.

Remote training session for QuickBooks Accounting and Payroll software.

Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.

This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.