VIP Exclusive
Data Science with Python Certification VIP Practice Exam
Data Science with Python Certification — There is no single universally standardized 'Data Science with Python Certification' exam; this is an original comprehensive VIP practice set modeled on the IBM Data Science Professional Certificate (Coursera/IBM), DataCamp Data Scientist with Python certification, and industry-standard competencies tested by providers such as Simplilearn and edX — covering Python for data science, statistical analysis, machine learning with scikit-learn, and data visualization.
30
Questions
90m
Time Limit
75.00%
To Pass
Question 1 of 30👑 VIP
You are working with a Pandas DataFrame containing 500,000 customer transactions. After loading the CSV, you run `df.info()` and notice that a column `order_value` is listed as `object` dtype instead of `float64`, even though it should contain numeric data. Which of the following is the most likely cause and the correct fix? A) The column contains currency symbols or commas; use `df['order_value'] = df['order_value'].str.replace('[\$,]', '', regex=True).astype(float)` B) The column has too many rows; split the DataFrame first C) Pandas auto-detects floats as objects when the file exceeds 100,000 rows; use `pd.read_csv(..., dtype={'order_value': float})` D) The CSV was saved with Windows line endings; convert the file encoding first
Questions 2–30 and full explanations are VIP-exclusive.