Data ScienceMachine LearningPython ProgrammingData AnalysisData Visualization (DataViz)PandasNumpyPredictive ModellingModel SelectionData VirtualizationMatplotlib
Специализация Applied Data Science
Get hands-on skills for a career in data science. Learn Python, analyze and visualize data. Apply your skills to data science and machine learning.
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Чему вы научитесь
Develop an understanding of Python fundamentals
Gain practical Python skills and apply them to data analysis
Communicate data insights effectively through data visualizations
Create a project demonstrating your understanding of applied data science techniques and tools
Приобретаемые навыки
Специализация: общие сведения
Недавно просмотрено: 24,807
This action-packed Specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you!
This 4-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.
Through guided lectures, labs, and projects in the IBM Cloud, you’ll get hands-on experience tackling interesting data problems from start to finish. Take this Specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.
In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in applied data science.
This Specialization can also be applied toward the IBM Data Science Professional Certificate.
Проект прикладного обучения
Complete hands-on labs and projects in the IBM Cloud by applying your newly acquired skills and knowledge throughout the Specialization. Projects include creating a random album generator, building a machine learning model, and analyzing geospatial data.
Карьерные результаты учащихся
39%
Начали новую карьеру, пройдя этот продукт (Специализация).
11%
Стали больше зарабатывать или получили повышение.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Начальный уровень
Опыт не требуется.
Прибл. 5 месяцев на выполнение
Около 6 ч/неделю
Английский
Субтитры: Английский, Французский, Португальский (бразильский), Вьетнамский, Корейский, Немецкий, Русский, Испанский, Персидский, Арабский, Турецкий
Карьерные результаты учащихся
39%
Начали новую карьеру, пройдя этот продукт (Специализация).
11%
Стали больше зарабатывать или получили повышение.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Начальный уровень
Опыт не требуется.
Прибл. 5 месяцев на выполнение
Около 6 ч/неделю
Английский
Субтитры: Английский, Французский, Португальский (бразильский), Вьетнамский, Корейский, Немецкий, Русский, Испанский, Персидский, Арабский, Турецкий
Специализация включает несколько курсов: 4
Python for Data Science and AI
Оценки: 19,359
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
Анализ данных с Python
Оценки: 12,481
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
Data Visualization with Python
Оценки: 8,524
"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
Applied Data Science Capstone
Оценки: 4,939
This capstone project course will give you a taste of what data scientists go through in real life when working with data.
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IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Часто задаваемые вопросы
Получу ли я зачеты в университете за прохождение специализации?
Can I just enroll in a single course?
Можно ли зарегистрироваться только на один курс?
Can I take the course for free?
Могу ли я пройти курс бесплатно?
Действительно ли это полностью дистанционный курс? Нужно ли мне посещать какие-либо занятия лично?
What is data science?
What are some examples of careers in data science?
How long does it take to complete this Specialization?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
Получу ли я зачеты в университете за прохождение специализации?
Остались вопросы? Посетите Центр поддержки учащихся.
