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DASCA SDS Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Visualization and Communication10-15%- Tools and Technologies
  • 1. Python Visualization Libraries
  • 2. Tableau/Power BI
- Visualization Principles
  • 1. Dashboard Design
  • 2. Storytelling with Data
Topic 2: Advanced Statistical Modeling20-25%- Statistical Inference
  • 1. Bayesian Methods
  • 2. Hypothesis Testing
  • 3. Confidence Intervals
- Regression Analysis
  • 1. Regularization Techniques
  • 2. Generalized Linear Models
  • 3. Linear and Logistic Regression
Topic 3: Big Data Engineering15-20%- Distributed Computing
  • 1. Apache Spark
  • 2. Hadoop Ecosystem
  • 3. Data Pipelines
- Cloud Computing for Data Science
  • 1. AWS/Azure/GCP Services
  • 2. Serverless Architectures
  • 3. Containerization
Topic 4: Machine Learning at Scale25-30%- Supervised Learning
  • 1. Time Series Forecasting
  • 2. Ensemble Methods
  • 3. Support Vector Machines
- Deep Learning Fundamentals
  • 1. Neural Networks
  • 2. Recurrent Networks
  • 3. Convolutional Networks
- Unsupervised Learning
  • 1. Clustering Algorithms
  • 2. Anomaly Detection
  • 3. Dimensionality Reduction
Topic 5: Foundations of Data Science15-20%- Data Science Lifecycle
  • 1. Data Collection and Preparation
  • 2. Problem Formulation
  • 3. Deployment and Monitoring
  • 4. Model Building and Evaluation
- Data Science Ethics
  • 1. Transparency and Explainability
  • 2. Privacy and Confidentiality
  • 3. Bias and Fairness

DASCA Senior Data Scientist Sample Questions:

1. ElementTree sub-library gives us direct access to:

A) Parse tree of the XML
B) Delete tree of the XML
C) Copy tree of the XML
D) Insert tree of the XML
E) None of the above


2. Which of the following is an example of graphical model?

A) Both A and B
B) Markov Random Fields
C) Bayesian Networks
D) Both A and C
E) Geographical Networks


3. The main purpose of a Statement Of Work (SOW) is to get:

A) What the priorities are
B) What expectations are realistic
C) All of the above
D) None of the above
E) Everybody on the same page about what work should be done


4. Which of the following architectural techniques is used for parallel processing?

A) Both A and B
B) The SuperVector Technique
C) The Superscalar Technique
D) Very Long Instruction Words (VLIW) Technique
E) Both B and C


5. Which of the following is NOT an example of graphical model?

A) Geographical networks
B) Electrical circuits
C) Road maps
D) Computer networks
E) Flow charts


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: C
Question # 4
Answer: A
Question # 5
Answer: E

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