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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Foundations of Data Science | 15-20% | - Data Science Ethics
- 1. Privacy and Confidentiality
- 2. Transparency and Explainability
- 3. Bias and Fairness
- Data Science Lifecycle
- 1. Model Building and Evaluation
- 2. Problem Formulation
- 3. Deployment and Monitoring
- 4. Data Collection and Preparation
|
| Topic 2: Big Data Engineering | 15-20% | - Cloud Computing for Data Science
- 1. Serverless Architectures
- 2. Containerization
- 3. AWS/Azure/GCP Services
- Distributed Computing
- 1. Data Pipelines
- 2. Hadoop Ecosystem
- 3. Apache Spark
|
| Topic 3: Data Visualization and Communication | 10-15% | - Visualization Principles
- 1. Storytelling with Data
- 2. Dashboard Design
- Tools and Technologies
- 1. Tableau/Power BI
- 2. Python Visualization Libraries
|
| Topic 4: Machine Learning at Scale | 25-30% | - Deep Learning Fundamentals
- 1. Recurrent Networks
- 2. Convolutional Networks
- 3. Neural Networks
- Unsupervised Learning
- 1. Dimensionality Reduction
- 2. Clustering Algorithms
- 3. Anomaly Detection
- Supervised Learning
- 1. Support Vector Machines
- 2. Ensemble Methods
- 3. Time Series Forecasting
|
| Topic 5: Advanced Statistical Modeling | 20-25% | - Regression Analysis
- 1. Generalized Linear Models
- 2. Regularization Techniques
- 3. Linear and Logistic Regression
- Statistical Inference
- 1. Bayesian Methods
- 2. Confidence Intervals
- 3. Hypothesis Testing
|
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is correct about microservices?
A) Each service can be developed in any language that best fits the requirement
B) Each service is a new project
C) Each service is independent
D) All of the above
2. Tar is an example of:
A) None of the above
B) Text file format
C) ARV file format
D) CSV file format
E) Archive file format
3. What is TRUE for "rehashing"?
A) It requires a new hash function, which maps values into a larger range of integers
B) Allocate a new, larger hash table in memory
C) Both A and B
D) Key/value pairs from the original table can be inserted into the new, larger one
E) All of the above
4. Which of these are open-source column-oriented databases?
A) Cassandra
B) Both A and B
C) HBase
D) Accumulo
E) All of the above
5. Which of the following is TRUE for Tensor?
A) Tensor is used to describe multidimensional arrays of numbers on which we perform linear operations
B) Both B and C
C) In Tensor, there can be arbitrarily many dimensions to the array
D) All of the above
E) Tensor is an array of floating-point numbers
Solutions:
Question # 1 Answer: D | Question # 2 Answer: E | Question # 3 Answer: E | Question # 4 Answer: E | Question # 5 Answer: D |