68 Courses delivered Online

Sadhguru:Unfortunately in the western part of the world, if you utter the word “Yoga,” people think you must twist yourself out like rubber bands or stand on your head. Yoga is not an exercise form. The word“Yoga” means union. Hatha is a Sanskrit word that can be broken down into two smaller words: ha, meaning “sun,” and tha, meaning “moon.” The word may also mean “willful” or “forceful.” In yoga, Hatha yoga is one of many types of yoga practice. The practice of Hatha yoga focuses on total mastery of the physical body, including all bodily functions. It also emphasizes activating the chakras in order to stimulate kundalini and promote spiritual and physical wellness, including disease elimination. In my session I offer various kinds of beginner friendly yog asana , pranayam and short meditation during savaasan which build your mindfulness and rejuvenate every cell of your body and mind and our brain which makes you more energetic.

Course Title: 3ds Max Essential Training Course Perfect for novice 3ds Max users, our Essentials Training Course, hosted by an Autodesk Certified Trainer, equips you with core skills for creating 3D models and animations. Click here for more info: Website Duration: 16 hours Method: 1-on-1, Personalized Attention, Tailored Content, Flexible Pace, Individual Support Schedule: Tailor your own schedule by pre-booking a convenient hours, available from Mon to Sat between 9 am and 7 pm. Course Highlights: Comprehensive Learning: Covering 3ds Max from the basics, including interface navigation and customization, to essential skills for professional 3D modeling and animations. Expert Guidance: Certified tutors and industry experts provide personalized attention, ensuring a deep understanding of 3D concepts. Flexible Scheduling: Tailor the learning experience to your pace and preferences, with one-on-one sessions available from Monday to Sunday. Interactive Learning: Engage in hands-on exercises and practical projects, enhancing your skills in a real-world context. Job Opportunities: Upon completion, students can pursue careers as: 3D Modelers: Creating detailed 3D models for games, movies, or architectural visualization. Animation Artists: Designing engaging animations for various media platforms. Visual Effects (VFX) Artists: Working on special effects for films, TV shows, and commercials. Architectural Visualizers: Producing realistic architectural renders for construction and design projects. Game Designers: Developing immersive game environments and characters. Recommended Reading: "3ds Max 2022 for Beginners" by CADFolks: A beginner-friendly guide covering fundamental concepts and techniques in 3ds Max. "Mastering Autodesk 3ds Max 2022" by Nicholas Boughen: A comprehensive resource for mastering advanced features and workflows in 3ds Max. "The Animator's Survival Kit" by Richard Williams: A classic animation guide providing valuable insights for aspiring animators. These books offer valuable knowledge and techniques, complementing the skills learned in the course and aiding in future career endeavors. Upon completing the 3ds Max Basic to Fundamentals Training Course, participants will: Master 3ds Max Tools: Gain a deep understanding of the software interface, tools, and navigation, enabling efficient 3D modeling and animation. Create Complex Models: Develop proficiency in creating intricate 3D models, including objects, characters, and architectural elements, using various modeling techniques. Apply Realistic Textures: Learn to apply textures, maps, and materials to enhance the realism of 3D models, understanding diffuse, bump, and reflective materials. Perfect Lighting and Rendering: Acquire skills in setting up various lights, environment lighting, and global illumination for realistic renderings, optimizing rendering settings for quality output. Animate with Precision: Master keyframe animation, path animation, and constraints, bringing 3D scenes to life with smooth and accurate motion. Understand Dynamics and Simulations: Explore basic dynamics and simulations, including particle systems, creating dynamic and interactive 3D environments. Problem-Solve Creatively: Develop problem-solving skills for common challenges in 3D design, using innovative techniques and tools. Professional Project Execution: Apply learned skills to real-world projects, ensuring a professional approach to 3D modeling, animation, and visualization. By the end of the course, participants will be equipped with the knowledge and skills to confidently create visually stunning 3D models, animations, and visualizations, making them proficient 3ds Max users ready for diverse industry applications. Course Highlights: Comprehensive Learning: Covering 3ds Max from the basics, including interface navigation and customization, to essential skills for professional 3D modeling and animations. Expert Guidance: Certified tutors and industry experts provide personalized attention, ensuring a deep understanding of 3D concepts. Flexible Scheduling: Tailor the learning experience to your pace and preferences, with one-on-one sessions available from Monday to Sunday. Interactive Learning: Engage in hands-on exercises and practical projects, enhancing your skills in a real-world context. Job Opportunities: Upon completion, students can pursue careers as: 3D Modelers: Creating detailed 3D models for games, movies, or architectural visualization. Animation Artists: Designing engaging animations for various media platforms. Visual Effects (VFX) Artists: Working on special effects for films, TV shows, and commercials. Architectural Visualizers: Producing realistic architectural renders for construction and design projects. Game Designers: Developing immersive game environments and characters. Recommended Reading: "3ds Max 2022 for Beginners" by CADFolks: A beginner-friendly guide covering fundamental concepts and techniques in 3ds Max. "Mastering Autodesk 3ds Max 2022" by Nicholas Boughen: A comprehensive resource for mastering advanced features and workflows in 3ds Max. "The Animator's Survival Kit" by Richard Williams: A classic animation guide providing valuable insights for aspiring animators. These books offer valuable knowledge and techniques, complementing the skills learned in the course and aiding in future career endeavors. Receive ongoing email support for a lifetime. Access comprehensive handouts and valuable documents. Explore flexible financial support choices, including installment plans and funding through job center plus and DWP (Contact us for specifics). Rest assured with our money-back guarantee: If you're dissatisfied after your initial session, we address your concerns and provide a refund if necessary (Terms and conditions may apply). Get help with computer optimization to enhance software performance in Autocad, 3ds Max, and Photoshop on both PC platforms. Benefit from our industry connections, facilitating portfolio promotion and job opportunities.

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Is this course for you? Looking to upgrade your React 17 applications to React 18? Are you working with React already? Then sooner or later, you will need to upgrade to React 18. New to React and curious to know how React is different from libraries such as Vue? This course will explain the importance of concurrent rendering to you. A beginner-friendly course in React.

Are you eager to learn Django and build real web applications? Do you want to gain hands-on experience with Python, Django, and Git? Look no further! This beginner-friendly course has got you covered. Discover the secrets of Django applications, templates, models, and migrations as we guide you through the process step-by-step. Tired of struggling with deployment? We will show you how to deploy your applications on a Railway Server effortlessly.

Have you never worked with React Hooks before? Already using React Hooks a bit but want to learn more? New to TypeScript? Do you have a reasonable understanding of React? Have a computer with a modern browser and code editor? If your answer is yes, then you are the one who is best suited for this course. A beginner-friendly course to get you started with React Hooks.

Why choose SketchUp Course for Interior Designers and Architects with Layout and Vray? Introducing SketchUp Training Course tailored for Interior Designers and Architects. This comprehensive course is designed for interior designers and architects who want to master SketchUp for 3D modeling, Layout for creating construction documents, and V-Ray for rendering. Course info Duration: 10 hrs Method: 1-2-1, Personalized attention Schedule: Tailor your own hours, available from Mon to Sat between 9 am and 7 pm Explore the world of 3D drawing with Sketchup in this beginner-friendly course. With its user-friendly interface, Sketchup offers a gentle learning curve, allowing you to quickly grasp 3D geometries. As you become acquainted with the basic drawing tools, you'll uncover a plethora of advanced techniques to create intricate and complex 3D objects. Who Should Take This Course? This course is ideal for individuals seeking to utilize a 3D drawing tool to solve three-dimensional problems or engage in more advanced design endeavors. Our experienced tutors communicate in accessible English, avoiding complex jargon and ensuring clarity throughout the course.  We offer a wealth of learning resources for you to access beyond live lessons. Stay up-to-date, practice, and review key concepts essential to your growth. Course Title: SketchUp Training for Interior Designers and Architects with Layout and V-Ray Course Course Duration: 10 hours Course Description: This comprehensive course is designed for interior designers and architects who want to master SketchUp for 3D modeling, Layout for creating construction documents, and V-Ray for advanced rendering. Participants will learn how to create stunning 3D models for their projects, produce detailed construction documents, and apply professional-grade rendering techniques to bring their designs to life. Course Outline: Module 1: Introduction to SketchUp (1 hour) - Overview of SketchUp for interior design and architecture - Interface and basic tools - Navigation and viewport controls - Creating and saving interior design and architecture projects Module 2: Creating Floor Plans (1 hour) - Importing floor plans and site plans - Drawing walls, windows, and doors - Creating and editing floor levels - Understanding Layers and Scenes Module 3: Adding Furniture and Fixtures (2 hours) - Importing furniture and fixtures from the 3D Warehouse - Creating custom furniture and fixtures - Placing and arranging furniture and fixtures in the space - Creating and editing custom materials Module 4: Advanced Modeling Techniques (2 hours) - Creating more complex 3D models using advanced tools - Using groups and components for model organization - Adding custom details and finishes Module 5: Layout for Construction Documents (2 hours) - Creating construction documents in Layout - Importing SketchUp models into Layout - Creating floor plans, elevations, and sections - Adding annotations and dimensions to construction documents Module 6: Introduction to V-Ray (1 hour) - Overview of V-Ray for SketchUp - Basic V-Ray interface and tools - Understanding V-Ray materials and textures Module 7: Advanced Rendering Techniques (1 hour) - Applying advanced rendering techniques to SketchUp models - Creating artificial lighting and using natural lighting - Adding entourage and landscaping to designs Module 8: Importing and Exporting (30 minutes) - Importing and exporting files from other software - Understanding file formats and compatibility - Exporting models for 3D printing Module 9: Conclusion and Next Steps (30 minutes) - Review of course content - Tips for further learning and resources - Q&A and feedback

Elevate your online presence with our ultimate guide to video editing. Uncover the art of crafting captivating videos, from initial idea to polished masterpiece, all set for prime time on your websites and social media stages. Master video editing for enhanced Google ranking and social media success.

A beginner-friendly course for aspiring pentesters with 10+ hours of applied ethical hacking and security content covering core concepts such as using VMware, basics of Linux, Nmap, Metasploit, privilege escalation, known vulnerabilities, SQL injections, pivoting, cracking passwords, and much more. You need to know the basics of Linux and networking to get started.

This beginner-friendly course takes us on a journey into data visualization. You will learn to transform raw data into stunning visuals using Matplotlib, Seaborn, and Plotly. From charts to dynamic heatmaps, we will master the essentials. Fuel your curiosity, enhance your skills, and communicate insights effectively to become a Python data visualization pro!