The 2024 Beginner Data Science Bundle for $36

Expires September 18, 2124 07:59 PST Buy now and get 89% off . Power BI: Beginner. KEY FEATURES. Transform Raw Data into Insightful Visualizations and Reports. Unlock the dynamic world of data visualization with our Power BI Beginner course. This course is designed to introduce you to the fundamentals of Power BI, enabling you to transform raw data into impactful visualizations that support data-driven decisions. You'll explore essential concepts of data visualization and analysis, learning to create interactive dashboards and reports. Key topics include importing data from various sources, data transformation, and crafting visualizations such as charts and maps. Ideal for beginners, this course simplifies the process of embracing data-driven decision-making and effectively communicating your insights.. What you'll learn. Access 28 lectures & 6.5 hours of content 24/7 Understand the fundamentals of Power BI and its role in data visualization Learn how to import data from various sources and transform it for analysis Create interactive dashboards and reports to display key insights Design visualizations like charts, graphs & maps to communicate data effectively Use Power BI tools to enable data-driven decision-making Develop the skills to transform raw data into meaningful, actionable insights Who this course is for. Anyone looking to learn Power BI from scratch Anyone wanting to enhance their data analysis and visualization skills Anyone seeking to make data-driven decisions with interactive reports Anyone interested in transforming raw data into actionable insights Anyone aiming to create impactful dashboards and visualizations for their team or clients PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Fundamental computer skills and comfort with installing and using software Basic understanding of data analysis concepts Familiarity with Excel or other spreadsheet tools is helpful THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . Tableau Fundamentals. KEY FEATURES. Master Data Visualization and Analysis Using Tableau. Step into the world of data visualization and analysis with Tableau Fundamentals. This course equips you with essential skills to explore and present data effectively, helping you uncover valuable insights and patterns. You’ll learn how to connect to various data sources, perform data joining, and create advanced visualizations. Throughout the course, you'll discover how to clean and preprocess data, craft interactive maps and charts, and develop insightful dashboards and stories, empowering you to tell compelling data-driven narratives. It is ideal for those seeking a solid foundation in Tableau for impactful data exploration.. What you'll learn. Access 11 lectures & 15 hours of content 24/7 Connect to various data sources and import data into Tableau Clean & preprocess data for accurate analysis Perform data joining & blending from multiple sources Create advanced charts, maps & interactive visualizations Design compelling & insightful dashboards and data stories Learn techniques for effective data exploration & storytelling Uncover patterns & insights from raw data using Tableau Who is this course for. Anyone new to Tableau and looking to build a strong foundation Anyone interested in data visualization and storytelling Anyone wanting to enhance their data analysis skills with interactive visualizations Anyone aiming to create impactful dashboards for business insights Anyone seeking to explore and present data effectively across industries Anyone looking to uncover insights and patterns from complex data sets using Tableau PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Fundamental computer skills and comfort with installing and using software Basic understanding of data analysis concepts. Familiarity with Excel or other spreadsheet tools is helpful but not required THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . . Data Science with R. KEY FEATURES. Use R for Machine Learning Tasks. This comprehensive course immerses you in the world of machine learning, using the powerful R programming language. Starting with fundamental concepts, you'll gradually advance to implementing sophisticated algorithms, gaining the expertise needed to thrive in the field. Topics covered include regression, classification, clustering, and dimensionality reduction techniques. With a focus on practical experience, this course empowers you to confidently apply machine learning methods in real-world scenarios. The hands-on approach ensures that you'll not only grasp theoretical concepts but also learn how to implement them effectively using R.. What you'll learn. Access 7 lectures & 8 hours of content 24/7 Learn the fundamentals of machine learning & its applications Implement regression, classification & clustering algorithms Learn dimensionality reduction techniques for data simplification Use R for data preprocessing & model building Explore practical approaches for applying machine learning in real-world scenarios Evaluate and fine-tune machine learning models Confidently apply machine learning techniques across various industries using R Who this course is for. Anyone new to machine learning and looking for a comprehensive introduction Anyone interested in applying machine learning techniques using R Anyone aiming to enhance their data science and analytical skills Anyone wanting to implement machine learning in real-world projects Anyone in data-related fields seeking to expand their knowledge of advanced algorithms Anyone looking to build practical, hands-on experience in machine learning PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Fundamental computer skills and comfort with installing and using software. Understanding of key concepts in data handling, such as loading data from different sources (CSV, Excel, databases) and basic data cleaning Basic understanding of programming concepts THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . Exploring Data with Python. KEY FEATURES. Master Python for Data Exploration, Visualization, and Analysis. This course will take you through the fascinating world of data analysis and uncovers valuable insights and patterns hidden within data. This course is meticulously designed to equip you with essential skills and techniques required for effective data exploration and analysis.. . In this course, you'll start with the basic exploration of python, one of the most popular programming languages in data science. It will guide you through the essential skills and techniques required for effective data exploration. You’ll learn how to handle missing values and outliers, perform feature scaling, and create insightful data visualizations.. . You'll engage in hands-on exercises that will help you apply your new skills. By analyzing different types of data, you will learn how to clean and pre-process data, perform exploratory data analysis, and visualize your findings to tell compelling stories. What you'll learn. Access 9 lectures & 2 hours of content 24/7 Learn the fundamentals of Python programming & its syntax Write & debug Python code effectively Work with data structures, including lists, dictionaries & sets Use libraries & frameworks for advanced applications Handle file operations & interact with databases Implement object-oriented programming concepts Develop & deploy Python applications for various use cases Solve real-world problems & build practical projects using Python Who this course is for. Anyone new to programming who wants to learn Python from the ground up Anyone looking to advance their Python skills for career growth Anyone interested in exploring Python's applications in various tech fields Anyone seeking to develop practical coding skills for real-world projects PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Fundamental computer skills & comfort with installing and using software Basic understanding of Python programming Essential math and statistics knowledge is helpful but not required THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . Mastering Machine Learning with Python. KEY FEATURES. Your Comprehensive Guide to Advanced Machine Learning. Mastering Machine Learning with Python immerses learners in advanced machine learning algorithms, hypothesis testing, and optimization techniques. You will delve into essential topics such as the basics of matrices, decision trees, random forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Naive Bayes classifiers. Explore unsupervised learning techniques, including K-Means clustering and PCA, and gain Time Series Analysis (TSA) proficiency.. . This course also covers advanced areas like Natural Language Processing (NLP), Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and reinforcement learning. Additionally, you will use libraries like Scikit-Learn for machine learning tasks and OpenCV for NLP walkthroughs.. What you'll learn. Access 65 lectures & 12 hours of content 24/7 Learn core concepts such as matrices, decision trees, random forests, K-Nearest Neighbors (KNN), SVM, and Naive Bayes classifiers Learn unsupervised learning methods including K-Means clustering and PCA for pattern discovery Explore advanced techniques like NLP, Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN) & reinforcement learning Develop practical skills with Scikit-Learn and OpenCV to tackle real-world machine-learning challenges Who this course is for. Anyone interested in gaining a solid foundation in machine learning using Python Beginners looking to understand core machine learning concepts and their applications Intermediate learners aiming to expand their skills with advanced techniques and real-world projects Professionals seeking to enhance their data science toolkit with practical machine learning experience PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic knowledge of Python programming Familiarity with basic statistics and linear algebra Basic understanding of data structures and control flow THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . Mastering SQL: From Basics to Advanced Techniques. KEY FEATURES. Comprehensive Training in SQL Principles and Applications. Embark on an immersive journey through SQL with our comprehensive course designed to elevate your skills from fundamental to advanced levels. Start by mastering SQL basics, including data retrieval, manipulation, and database management. Advance to complex topics such as joins, subqueries, stored procedures, and optimization techniques. Delve into practical applications in data analytics, reporting, and database administration, all while gaining hands-on experience. This course provides a thorough understanding of SQL principles and their real-world applications, preparing you for success in today’s data-driven landscape.. What you'll learn. Access 61 lectures & 16 hours of content 24/7 Learn the fundamentals of SQL, including data retrieval, manipulation & database management Learn advanced SQL techniques such as joins, subqueries, stored procedures & query optimization Study practical applications in data analytics, reporting & database administration Apply SQL skills effectively in real-world scenarios through hands-on experience Who this course is for. Anyone looking to build a solid foundation in SQL, from beginners to those with some experience Professionals seeking to enhance their skills in data analytics, reporting, or database administration Individuals aiming to advance their career in data-driven roles by mastering SQL Students and learners who want to gain practical, hands-on experience in SQL for real-world applications PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Fundamental computer skills & comfort with installing and using software Basic understanding of Python programming Essential math and statistics knowledge is helpful but not required THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . Introduction to Statistical Analysis. KEY FEATURES. Master the Basics of Data Interpretation. The Introduction to Statistical Analysis course is designed to provide learners with a strong foundation in statistical methods and principles. You will explore essential concepts such as probability, hypothesis testing, and data visualization through a series of interactive and informative lessons. This course aims to equip you with practical skills in statistical analysis, making it ideal for students, professionals, and anyone looking to build a solid understanding of statistics.. What you'll learn. Access 39 lectures & 5 hours of content 24/7 Learn the fundamentals of probability to understand data likelihood & outcomes Evaluate & interpret data-driven conclusions with hypothesis-testing techniques Effectively present statistical findings with data visualization methods Learn practical applications of statistical methods in real-world scenarios Use statistical software for hands-on experience and enhanced analysis skills Who this course is for. Anyone looking to build a strong foundation in statistical analysis, regardless of their background Anyone interested in understanding probability, hypothesis testing, and data visualization Anyone who wants to enhance their skills for academic, professional, or personal growth Anyone seeking a practical introduction to the key concepts and methods used in statistical analysis PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic understanding of high school-level mathematics, including algebra Basic knowledge of Microsoft Excel or similar spreadsheet software for data handling THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . Data Science With Python. KEY FEATURES. Leverage Python for Diverse Data Science Tasks. The Data Science with Python course is designed to equip you with comprehensive skills in data science using the versatile Python programming language. This program covers essential topics from foundational concepts to advanced techniques, preparing you to excel in the dynamic field of data science.. . Throughout the course, you will develop proficiency in critical areas such as "Handling Missing Values" to ensure data integrity and "Data Exploration" techniques to gain thorough insights into datasets. Hands-on sessions focusing on "NumPy" for numerical computing and "Data Manipulation" with Pandas will provide you with practical tools for efficient data analysis and manipulation. Additionally, you will explore "Object-Oriented Programming (OOP)" principles for creating modular and maintainable code, and learn "Web Scraping" techniques to extract data from websites for analysis.. What you'll learn. Access 15 lectures & 12 hours of content 24/7 Ensure data integrity by effectively managing incomplete datasets Gain thorough insights into datasets & uncover patterns and relationships Know tools & techniques for manipulating and transforming data efficiently Understand & apply OOP principles in Python Extract data from websites for analysis Who this course is for. Anyone new to programming who wants to learn Python from the ground up Anyone looking to advance their Python skills for career growth Anyone interested in exploring Python's applications in various tech fields Anyone seeking to develop practical coding skills for real-world projects PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic proficiency in using computers & software installation Familiarity with fundamental Python programming concepts A foundational understanding of mathematics & statistics would be advantageous. THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. . . Introduction to Machine Learning. KEY FEATURES. Understand Machine Learning Concepts and Address Complex Data Challenges. Throughout this comprehensive program, you will explore a wide range of machine learning concepts, algorithms, and practical applications, focusing on the core principles of predictive modeling and data analysis.. . This course covers crucial topics, including the skills required for data science, understanding machine learning and its applications, and the distinctions between machine learning and deep learning. You will delve into supervised and unsupervised learning techniques, gaining hands-on experience with data handling, model building, and implementing various algorithms. Additionally, the course addresses essential aspects of data preparation, such as outlier removal, missing values treatment, standardization, and normalization.. What you'll learn. Access 5 lectures & 4 hours of content 24/7 Gain a solid understanding of fundamental machine learning concepts & principles Explore key supervised learning algorithms such as Linear Regression, Logistic Regression & Decision Trees Learn techniques for evaluating & validating machine learning models Develop skills in creating new features & selecting the most impactful ones for improving model performance Understand the ethical implications & learn strategies to identify and mitigate bias in machine learning models Who this course is for. Anyone interested in gaining a solid foundation in machine learning Beginners looking to understand core machine learning concepts and their applications Intermediate learners aiming to expand their skills with advanced techniques and real-world projects Professionals seeking to enhance their data science toolkit with practical machine learning experience PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available Not downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic understanding of Python programming, including familiarity with libraries such as NumPy and Pandas Essential knowledge of linear algebra, calculus, and probability/statistics Basic understanding of data structures and control flow THE EXPERT. GreyCampus | EdTech Platform. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.. .

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