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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このコースについて
171,654 最近の表示
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共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における9の9コース
中級レベル
It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.
約14時間で修了
英語
字幕：英語
習得するスキル
Microsoft ExcelData AnalysisSQL and RDBMSData Visualization (DataViz)Dashboard
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における9の9コース
中級レベル
It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.
約14時間で修了
英語
字幕：英語
提供：
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
シラバス - 本コースの学習内容
4時間で修了
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.
4時間で修了
1件のビデオ （合計3分）, 7 学習用教材, 3 個のテスト
1時間で修了
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.
1時間で修了
7 学習用教材
1時間で修了
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.
1時間で修了
5 学習用教材
1時間で修了
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 the distribution of data, relationships between data, the composition of data, and comparison of data.
1時間で修了
10 学習用教材
レビュー
IBM DATA ANALYST CAPSTONE PROJECT からの人気レビュー
HDにより2020年12月26日
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
TSにより2021年8月8日
Course was excellent! Enjoyed the final project and being able to work with authentic data that helps understand IT career trends.
RUにより2021年9月5日
I consider that the Capstone project is well designed. It is challenging to complete, making it rewarding. Thank you.
NRにより2021年6月20日
The course is great and the tools used in this course are those widely used by data analysts in real life.
IBMデータアナリスト プロフェッショナル認定について
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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