MCQ Questionnaire
Budget: ₹600 – ₹1,000 INR
Hello there! We are a group of teachers enthusiastic to introduce the use of python for data science and tableau for data visualization to students. Help us out in this endeavour.
A) Python For Data Science
Requirement - 400 MCQ Questions
Topics to be covered -
1) Python - Basics, NumPy, Pandas, Seaborn, Scikit-learn (150 questions)
2) Machine Learning Algorithms - Clustering, Classification, Supervised, Unsupervised, Decision Tree, SVM, Random Forest (200 Questions)
3) Regression, Neural networks, NLP (50 Questions)
___________________________________________________________________________________________________________
B) Tableau For Data Visualization
Requirement - 400 MCQ Questions
Topics to be covered -
Connecting to a Data Source, Working in Data Source View, Dimensions, Measures, Marks Card, Filters, Calculated Field, Joining, Blending, Union,Charts, LOD expressions, Sets, Bins, Parameters, Pivots, Grouping, Hierarchy, Dashboard.
___________________________________________________________________________________________________________
Experience: Should have experience with Data Science or Machine learning with previous work/project/research experience.
Disclaimer: Questions submitted must be verified and should not be copied from the internet or other sources. Upon verification if the submission is found to be a copy from the internet, the submission willl be rejected and payment will be cancelled.
Delivery: 14 days
A) Python For Data Science
Requirement - 400 MCQ Questions
Topics to be covered -
1) Python - Basics, NumPy, Pandas, Seaborn, Scikit-learn (150 questions)
2) Machine Learning Algorithms - Clustering, Classification, Supervised, Unsupervised, Decision Tree, SVM, Random Forest (200 Questions)
3) Regression, Neural networks, NLP (50 Questions)
___________________________________________________________________________________________________________
B) Tableau For Data Visualization
Requirement - 400 MCQ Questions
Topics to be covered -
Connecting to a Data Source, Working in Data Source View, Dimensions, Measures, Marks Card, Filters, Calculated Field, Joining, Blending, Union,Charts, LOD expressions, Sets, Bins, Parameters, Pivots, Grouping, Hierarchy, Dashboard.
___________________________________________________________________________________________________________
Experience: Should have experience with Data Science or Machine learning with previous work/project/research experience.
Disclaimer: Questions submitted must be verified and should not be copied from the internet or other sources. Upon verification if the submission is found to be a copy from the internet, the submission willl be rejected and payment will be cancelled.
Delivery: 14 days