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We will follow a hands-on approach in this course to learn how to use and apply HTML5 and CSS3 concepts to the front-end page of your projects. A carefully structured beginner-level course that will help you level up your web development skills. You need not have any prior experience in HTML and CSS to take up this course.

Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

The Data Science (Business and Management) Mini Bundle offers a clever mix of technical and soft skills. You’ll explore core data topics like analysis, Python programming, and SQL—paired with public speaking and communication skills that actually help you talk to people about all that data. This isn’t just about numbers—it’s about knowing what to say when someone asks, “What do these numbers mean?” Whether you’re presenting to a team or querying a database, this course helps you communicate with confidence and clarity while building your technical toolkit for business roles. Learning Outcomes: Analyse datasets using structured, goal-based methods. Write Python code to organise, clean and process information. Understand SQL queries to access and filter relevant data. Present findings clearly using confident verbal communication. Improve workplace discussions through stronger communication habits. Combine data insights with thoughtful business reasoning. Who Is This Course For: Data beginners looking to speak clearly in business meetings. Business analysts needing stronger coding and tech fluency. Professionals handling large datasets and regular reports. Team members presenting technical updates or data reviews. Career changers entering data-focused business environments. Admins juggling between spreadsheets and project discussions. Managers wanting a sharper grasp on data and delivery. Curious learners improving both tech skills and communication. Career Path: Business Analyst – £42,000/year Data Communications Officer – £36,000/year Business Intelligence Assistant – £38,000/year SQL Analyst – £40,000/year Python Data Assistant – £39,000/year Public Speaking Coach (Business Focus) – £34,000/year

The Data Analyst Mini Bundle equips learners with core skills in data analysis and management, including courses on data entry, SQL, Python programming, and Microsoft Access. This bundle is ideal for anyone interested in entering the field of data analytics or enhancing their ability to handle and interpret data effectively. The curriculum focuses on key tools and techniques for collecting, organising, and analysing data. Learners gain a solid foundation in programming languages and software widely used in data roles, enabling confident application of data skills in various industries. Learning Outcomes: Understand data entry methods and accuracy requirements. Learn SQL for managing and querying databases effectively. Study Python basics for data analysis and automation tasks. Explore Microsoft Access for database management and reporting. Develop skills to clean and interpret data sets accurately. Apply analytical thinking to solve data-related problems. Who Is This Course For: Aspiring data analysts wanting to learn key technical tools. Office staff managing data and database tasks. IT professionals looking to expand data analysis skills. Students preparing for careers in data science or analytics. Business professionals aiming to interpret data confidently. Freelancers handling data collection and reporting duties. Individuals interested in programming for data applications. Anyone seeking an online introduction to data analytics. Career Path: Data Analyst – £28,000 to £45,000 SQL Developer – £30,000 to £48,000 Business Intelligence Analyst – £32,000 to £50,000 Data Entry Specialist – £18,000 to £25,000 Python Developer (Data Focus) – £35,000 to £55,000 Database Administrator – £30,000 to £48,000

Implement OTA programming, FreeRTOS and deep sleep in the ESP32

This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.

The Data Science: Data Analyst Mini Bundle is made for those who prefer evidence over guesswork. With key topics including Data Analysis, SQL, Python, Project Management, and MS Excel, this collection gives you a balanced mix of logic, organisation, and data literacy—all without trying to teach you twenty things at once. Whether you're managing a project or wrangling a CSV file, this course bundle is your sensible step toward making decisions based on something more reliable than a hunch. It’s suitable for career starters, team members, or those just trying to figure out what on earth a pivot table actually does. Learning Outcomes: Understand how to analyse and interpret structured data sets. Use SQL for database queries and data manipulation tasks. Write Python code to simplify and clean large datasets. Work efficiently with Excel for data calculation and graphs. Apply data knowledge in structured project workflows. Improve confidence in working with numbers and logic. Who Is This Course For: Aspiring analysts looking for a strong entry-level foundation. Team members working with spreadsheets and basic datasets. Managers wanting to understand what the analysts are saying. Graduates targeting data-related office positions. Freelancers exploring tech-focused client projects. Job seekers needing stronger data confidence and skill sets. People who enjoy patterns, statistics, or tidy spreadsheets. Anyone who’s been told to “check the numbers” again. Career Path: Junior Data Analyst – £30,000/year Python Programmer – £40,000/year SQL Data Developer – £42,000/year Project Analyst – £35,000/year Excel Data Specialist – £32,000/year Data Administrator – £34,000/year

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Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R