- テストされたスキル
- 期間
- 110 分以内。
- 評価
- 自動
- テスト概要
-
選択問題
の知識を評価する。 Python 3.x, 論理的思考, シーケンス, ソフトスキル
プログラミング・タスク - レベル: ハード
Python | NumPy | Graph Convolutional Networks - シンプルなグラフ畳み込みネットワークを実装。
DevSkiller Data Science online tests were formulated by our team of experts to help you test for junior, middle, and senior roles. Our Data Science online tests are perfect for both technical screening and online interviews.
DevSkiller Data Science online tests are powered by the RealLifeTesting™ methodology. This technology allows you to narrow down your search and hire the candidate with the right skill set by simulating real-world work scenarios.
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Python 3.X programming questions
の知識を評価する。 Python 3.x, 論理的思考, シーケンス, ソフトスキル
Python | NumPy | Graph Convolutional Networks - シンプルなグラフ畳み込みネットワークを実装。
の知識を評価する。 パイソン, スパーク
Python|PySpark|顧客嗜好モデル - マーケティングデータを前処理するためのデータエンジニアリングアプリケーションを実装する。
の知識を評価する。 パイソン
Python | PySpark | ML Logs Transformer - ログ変換パイプラインの実装を完了する。
SQL|切手カタログ|最高価格の3枚 - 最高価格の切手(価格と名前)を3枚選択します。
Python | Pandas | HTMLテーブルパーサー - HTMLテーブルをCSV形式のファイルに変換する関数を実装します。
の知識を評価する。 パイソン
Python | Pandas | HTMLテーブルパーサー - HTMLテーブルをCSV形式のファイルに変換する関数を実装します。
の知識を評価する。 パイソン
Python|車両販売レポート - 車両販売データウェアハウスに基づいてレポートを作成するアプリケーションを実装します。
の知識を評価する。 パイソン
Python | Pandas | A food delivery startup - Transform a database of orders by reducing its dimensionality and creating an additional analytical table.
の知識を評価する。 パイソン
Python | Client Base Creator - Implement the application to retrieve customer's contact data from the chat messages.
の知識を評価する。 機械学習, パイソン
Python | DNA Analyzer | Create and clean DNA strands - Implement 2 methods in Python that create and clean DNA strands.
の知識を評価する。 機械学習
Python | DNA Analyzer - Implement a method in Python that generates DNA statistical report.
assessing knowledge of *SQL
Python | NumPy | Aircraft measurement data processing - Complete data processing application that aggregates and compresses data streams using NumPy, Python and Data Analysis.
の知識を評価する。 SQL
Python | DNA Analyzer - Implement a method in Python that generates DNA statistical report.
の知識を評価する。 パイソン
Python | NumPy | Aircraft measurement data processing - Complete data processing application that aggregates and compresses data streams using NumPy, Python and Data Analysis.
の知識を評価する。 機械学習, パイソン
Python | DNA Analyzer | Create and clean DNA strands - Implement 2 methods in Python that create and clean DNA strands.
の知識を評価する。 パイソン
Python | DNA Analyzer - Implement a method in Python that generates DNA statistical report.
Every DevSkiller Data Science online test is powered by the RealLifeTesting™ methodology. This in-house technology works by testing candidates with real-world working scenarios that they would likely encounter on their first day of work. What’s unique about this methodology is that it provides insight into the candidate’s practical coding skills, critical thinking, time management, instead of focusing on academic knowledge.
Data Science is used primarily to make both decisions and predictions by making use of predictive causal analytics, prescriptive analytics, and machine learning. A data scientist is responsible for exploratory data analysis, machine learning & advanced algorithms, and data product engineering.
First and foremost, data scientists need to be critical thinkers in order to objectively analyze the data before forming an opinion or rendering judgment. Data scientists candidates should also be proficient in coding and be comfortable handling varied programming tasks. Although a broad knowledge of programming languages is preferable, Data Science is moving towards Python while R is also prominent. Proficiency in both mathematics and statistics is vital for a career in Data Science. Finally, experience with machine learning, deep learning, and AI is favorable for a data scientist candidate to possess. With the speed at which industries are moving in these areas, a data scientist must stay in front of the curve in research, as well as understanding what technologies to apply and when.
Did you know that you can create your own custom tests using the DevSkiller online task wizard? That’s right, creating your own fully customizable tests is easy with DevSkiller. Choose your test duration, number of questions, difficulty, and even upload your own codebase. Finding your next data scientist is easy with DevSkiller and our Data Science coding interview questions.
We understand that making recruitment decisions for your company is not easy and should be considered before jumping straight in. If you’re still not sold on DevSkiller Data Science coding interview questions then hear what some of our satisfied customers have to say:
Veriday
Veriday is a customer engagement and financial services technology (fin-tech) company specializing in products and solutions that transform customer experiences. Veriday hires approximately 40 developers annually. Before implementing DevSkiller, Veriday’s hiring process was long, tedious, and costly. The biggest problem they faced was wasting time and resources interviewing unworthy candidates. These candidates only reached the interview stage because the screening process was not covering any technical skills.
After implementing DevSkiller, Veriday was able to reduce the manual intervention required to send and assess the technical test. They were also able to reduce their tech rejection by 25%. With DevSkiller, Veriday now interviews 30 developers (instead of 50) for every 10 hires they make.
"技術的な不合格が減ったのは素晴らしいことです。DevSkillerの導入後、この時点で25%の改善が見られました。このプラットフォームは、候補者のプログラミング・スキルを評価し、ITプロフェッショナルの問題解決スキルに対する論理的なアプローチを提供する上で本当に役立っています。DevSkillerのおかげで、立ち上げ中の時間を大幅に節約でき、テストで良い結果を出した質の良い候補者を招聘することができ、最終的に選考基準を改善することができました。"
サブ・パプ – Talent Acquisition lead at Veriday
The RealLifeTestingTM methodology is the foundation of all DevSkiller online tests, including Data Science coding questions. It goes beyond games and algorithm puzzles to provide a 360-degree view of a developer’s skills. At its core, The RealLifeTestingTM stems from the belief that the best way to evaluate a developer’s development skills is with a work sample test that mirrors the actual development work they’ll do. Our online tests require candidates to build full project apps or add features to existing apps, just like they’ll be doing after being hired. To do this they will need to show their knowledge of coding, in stack resources, resources like Stack Overflow to find solutions and decision making to find the best way to solve the problems they encounter. The results you see show the candidate’s coding skill, decision making, code cleanliness, and problem-solving skills.
The platform gets to work straight away after the candidate completes the tests evaluating the solution. Shortly after, the results are generated into a report that is easy to understand and share across teams and departments. Candidates are evaluated on whether the solution would run (an essential factor in all software development), whether there are any errors in the code, the quality of the code, and how it works in edge cases. There are also robust plagiarism features that show you how similar the results are to previous solutions.
You can send your first Data Science online test in as little as 5 minutes. DevSkiller’s extensive library of predefined online tests means that you can start testing your candidates right when you set up your account, no other work required.