In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.
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Об этом курсе
It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.
Приобретаемые навыки
It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.
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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.
Программа курса: что вы изучите
Data Collection
Data Collection is the first step in solving any analysis problem, and can be collected in many formats and from many sources. In the first module of the Capstone we will collect data by scraping the internet, and using web APIs.
Data Wrangling
In this module you will be focusing on the cleaning of your dataset with various techniques. With these techniques you will be identifying duplicate rows, finding missing values, and normalizing the data.
Exploratory Data Analysis
In this module, begin working with the cleaned dataset from the previous module. You will now begin to analyze the dataset to find the distribution of data, presence of outliers and the correlation between different columns.
Data Visualization
In module 4 of the Capstone you will be required to create visualizations using the developer survey data. The visualizations you create should highlight distribution of data, relationships between data, composition of data and comparison of data.
Рецензии
Лучшие отзывы о курсе IBM DATA ANALYST CAPSTONE PROJECT
this course was a very good opportunity to practice almost all the materials studied in this specialization. taking the role of an associative data analyst was very helping
Excellent Course, each lesson has good pace and a good ration of theory and practice
Профессиональная сертификация 'Аналитик данных от IBM': общие сведения
Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).

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