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Free Download Coursera - DeepLearning.AI Data Analytics Professional Certificate Released 3/2025 By Sean Barnes - DeepLearning.AI MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 151 Lessons ( 10h 25m ) | Size: 3.6 GB Develop a Robust Foundation in Data Analytics. Build a job-ready data analytics skillset using industry-standard tools, including generative AI, to extract insights, make decisions, and solve real-world business problems. What you'll learn Statistics for real-world decision-making. Learn to calculate and interpret descriptive and inferential statistics to solve business problems. Data visualization and storytelling. Create compelling visualizations that effectively communicate complex data stories to stakeholders. Generative AI for analytics. Leverage genAI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance. Skills you'll gain Data cleaning and preprocessing Data Visualization Python Programming for Data Analysis Spreadsheets Data Storytelling Inferential Statistics (Hypothesis testing and Confidence Intervals) Applied Statistics and Probability Time Series Analysis And Forecasting Descriptive Statistics SQL for Data Manipulation Data Analysis Data Segmentation LLM Prompting for Data Analysis Inferential Statistics Python (Programming Language) Linear Regression Customized Visualizations Programming with Generative AI Data Validation Web Scraping Data Preprocessing SQLite Data Cleaning Statistical Analysis Probability And Statistics Tableau Insight Summary Data Narrative Design Data Dashboards Learn in-demand analytics skills that can transform your career. Data-informed decision-making is now an essential skill for everyone, from everyday consumer choices to business decisions at all levels. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively. The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. The skills you'll gain are in high demand, and with data science roles projected to grow 36% from 2023 to 2033 according to the U.S. Bureau of Labor Statistics, developing these skills puts you at the forefront of a data-centric world. Unique to this program is its integration of new AI tools into the analytics workflow. You'll learn to use large language models as a thought partner, accelerating tasks like simulation modeling, formula debugging, and data visualization. Each of the course examples comes from real-world use cases, building practical and immediately useful skills. Whether you're a software engineer working with data pipelines, a marketer or business analyst extracting insights, or building a career in data analysis, you'll gain the foundation to excel in the data economy. This program blends core statistical methods with AI-assisted workflows, perfect for beginner data professionals or experienced practitioners looking for fresh techniques. Applied Learning Project Advanced statistical applications. Move beyond theory to practical implementation of correlation analysis, confidence intervals, and hypothesis testing to solve real business challenges. Effective data-driven communication: Develop the crucial skill of translating complex analytical findings into clear, actionable insights for stakeholders at all levels. Future-ready analytics skills. Gain experience in AI-augmented workflows, preparing you for the cutting edge of data analytics, using AI to help speed up and improve analysis. 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Free Download Coursera - DeepLearning.AI Data Engineering Professional Certificate Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: Lessons () | Size: 8.88 GB Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems. What you'll learn Develop a mental model for the field of data engineering as a whole, including the data engineering lifecycle and its undercurrents. Learn a framework for approaching any data engineering project you work on so you can effectively create business value with data. Build your skill in the five stages of the data engineering lifecycle; including generating, ingesting, storing, transforming, and serving data. Learn the principles of good data architecture and apply them to build data systems on the AWS cloud. Skills you'll gain Data Management DataOps Data Warehousing Data Modeling Data Management Platforms Data Architecture Data Transformation Data Engineering Data transformation Data Orchestration The DeepLearning.AI Data Engineering Professional Certificate is a comprehensive online program for data engineers and practitioners looking to start or grow their careers. Organizations of all sizes and across all industries are capturing and generating data at an ever-increasing pace. Within these organizations, every team, from executives, sales and marketing, finance and operations, product and engineering, to customer service, can derive insights and value from organizational data. Whether the end use case is data science, machine learning, or analytics, data engineering is what allows raw data to be converted to value for the business. This is why the role of data engineer is one of the highest-demand jobs in tech today. Throughout this program, you'll learn the foundations of data engineering while gaining hands-on experience designing and implementing data architectures using AWS and open-source tools. Taught by industry expert Joe Reis, co-author of Fundamentals of Data Engineering, this certificate equips you with the skills and knowledge to excel in a high-demand field, focusing on ingesting, processing, transforming, storing, and serving data to data stakeholders to drive organizational and business objectives. The practical labs were developed in partnership with AWS and Factored.AI to provide you with an authentic experience building data systems on the cloud. With this certificate, you will have the tools to further your data engineering career. Applied Learning Project In this program, you'll Translate stakeholder needs into system requirements and choose the appropriate tools to build the system. Build end-to-end batch and streaming pipelines on AWS for a product recommendation system. Apply principles of good data architecture to assess the security, performance, reliability, and scalability of data systems on AWS. Explore various types of source systems and troubleshoot common connectivity issues. Use infrastructure and pipelines as code tools to orchestrate, automate, and monitor your data pipelines. Design data lake and data lakehouse storage architectures for various use cases. Explore the impact of data storage choices on query performance and cost. Model and transform data for analytics and machine learning use cases and compare centralized processing frameworks such as Pandas with distributed processing frameworks like Spark. Serve your data to downstream data stakeholders for business analytics and machine learning use cases. 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