365 Data Science Course Free Download

Data science is at the core of any growing modern business, from health care to government to advertising and more. Insights gathered from data science collection and analysis practices have the potential to increase quality, effectiveness, and efficiency of work output in professional and personal situations.

Data Science Principles makes the foundational topics in data science approachable and relevant by using real-world examples that prompt you to think critically about applying these understandings to your workplace. Get an overview of data science with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, and ethics.

Download File 🔥 https://urllio.com/2y5Upc 🔥

The Harvard on Digital course series provides the frameworks and methodologies to turn data into insight, technologies into strategy, and opportunities into value and responsibility to lead with data-driven decision making.

Dustin Tingley is a data scientist at Harvard University. He is Professor of Government and Deputy Vice Provost for Advances in Learning and helps to direct Harvard's education focused data science and technology team. Professor Tingley has helped a variety of organizations use the tools of data science and he has helped to develop machine learning algorithms and accompanying software for the social sciences. He has written on a variety of topics using data science techniques, including education, politics, and economics.

Learners who have enrolled in at least one qualifying Harvard Online program hosted on the HBS Online platform are eligible to receive a 30% discount on this course, regardless of completion or certificate status in the first purchased program. Past Participant Discounts are automatically applied to the Program Fee upon time of payment. Learn more here.

Learners who have earned a verified certificate for a HarvardX course hosted on the edX platform are eligible to receive a 30% discount on this course using a discount code. Discounts are not available after you've submitted payment, so if you think you are eligible for a discount on a registration, please check your email for a code or contact us.

"I found value in the real-world examples in Data Science Principles. With complicated topics and new terms, it's especially beneficial for learnings to be able to tie back new or abstract concepts to ideas that we understand. This course helped me understand data in this context and what algorithms are actually trying to solve."

Data Science Principles makes the fundamental topics in data science approachable and relevant by using real-world examples and prompts learners to think critically about applying these new understandings to their own workplace. Get an overview of data science with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, and ethics.

Using real-world data and policy interventions as applications, this course will teach core concepts in economics and statistics and equip you to tackle some of the most pressing social challenges of our time.

This curriculum will introduce students to the main ideas in data science through free tools such as Google Sheets, Python, Data Commons and Tableau. Students will learn to be data explorers in project-based units, through which they will develop their understanding of data analysis, sampling, correlation/causation, bias and uncertainty, probability, modeling with data, making and evaluating data-based arguments, the power of data in society, and more! At the end of the course students will have a portfolio of their data science work to showcase their newly developed abilities.

There is more data available to businesses and organizations today than ever before, offering the potential to quickly and efficiently identify and reach desired business goals and outcomes. What is the best way to access and use this data to help develop business solutions and make decisions? What is data-driven decision making, and how can a better understanding and use of data impact your business or organization?

Data is only as useful as the insights you can collect from it. As a business professional, you can help realize the full potential of your data by building the skills that will help you effectively understand, visualize, and analyze the data available to you.

Data Science for Business will help you appreciate the full benefits of data-driven decision making and teach you the business analytics tools and techniques you need to effectively build better business solutions and become a stronger manager.

Yael Grushka-Cockayne is the Altec Styslinger Foundation Bicentennial Chair in Business Administration and Senior Associate Dean for Professional Degree Programs at the University of Virginia Darden School of Business and was formerly a Visiting Professor of Business Administration at Harvard Business School and Professor of Business Administration. Her research and teaching activities focus on data science, forecasting, project management, and behavioral decision-making. Her research is published in numerous academic and professional journals, and she is a regular speaker at international conferences in the areas of decision analysis, project management, and management science. In 2014, Grushka-Cockayne was named one of "21 Thought-Leader Professors" in Data Science.

Temple Fennell is the CEO and founder of ATO Pictures, LLC, a motion pictures finance, production and distribution company that provides U.S. distribution and production funding. Step into Hollywood and explore how this company used data to identify box office success in the entertainment industry.

Susanna Gallani is an Assistant Professor Of Business Administration at Harvard Business School. She used data to determine if employees were fully engaged at work and will analyze how data can be used to fine-tune incentive strategies.

"As I work for one of the biggest Fortune 500 SaaS organizations in the US in the sales department, this will leverage my conversations with my management teams to get a better understanding of my pipeline and ability to reach my targets, but also enhance my conversations with my customers to understand their backend of data and what methods they use to help improve their business for their bottom line. From there, as a trusted advisor, this will open doors to ask deeper and more insightful questions to see how I can best support them on their data journey to fully utilize their data with confidence."

"This course definitely paid off. Upon successful completion of the course, I added this course to my LinkedIn and resume, and I can say that I have become more popular among HR. In addition, I gained confidence in myself as a specialist."

Data Science for Business moves beyond the spreadsheet and provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information. Starting with the questions you need to ask when using data for decision-making, this course will help you know when to trust your data and how to interpret the results.

Learning requirements: There are no prerequisites required to enroll in this course. In order to earn a Certificate of Completion from Harvard Online and Harvard Business School Online, participants must thoughtfully complete all 5 modules, including satisfactory completion of the associated assignments, by stated deadlines.

Sharpen your skills in data modeling, analytics and decision-making to help shape the future of any business or organization. This program will show you how to transform raw data into compelling insights and master the art of narrating impactful storylines to propel organizational strategy to new heights.

MS in Data Science courses are taught by experienced faculty who are academics, data science leaders, innovators and executives across a range of industries. You will access their wealth of wisdom and professional mentorship throughout this program.

In this advanced Python programming course, you will design custom classes to accomplish data science tasks. You will also develop facility with Python's standard library as well as important data processing packages.

In this set of courses you will develop and refine your knowledge of calculus, linear algebra, basic probability, and discrete math to master computational processes and problems in machine learning and statistics.

In this course you will learn how to design, train, and evaluate complex multi-layer neural networks in Python. You will also add to your data science portfolio by completing a culminating project of your own design.

This course will enable you to work with machine learning algorithms and big data at scale. Along the way, you will learn industry practices for implementing these technqiues as well as insight into the architectures that support them.

With tenured teaching faculty from both sponsoring departments, the MSDS program will teach you advanced approaches, techniques and skills across the fields of statistics and computer science. Courses cover probability and simulation, regression analysis, data visualization; and computer science topics such as machine learning, data structures, and optimization, and much more. MSDS students graduate with a strong foundation in data analysis along with applied training in machine learning and other computational approaches to data. 17dc91bb1f