Data Science Solved Question Paper, Notes and Question bank – Common job titles related with Data Science field, How to get job in Data Science field, Which companies hires for Data Science related profile, What is the main sectors in which Data Science graduates can work, Some relevant online websites to do certification in Data Science, Is Data Science an interesting field, Benefits of pursuing a career in Data Science etc.
Big data analytics involves collecting data from various sources on a large scale and managing it. It is later consumed by analysts to deliver useful business insights.
Table of Contents
Common job titles related with Data Science field:
Some of the common job titles related with data science field are:
Data Scientist | Statistician |
Data Analyst | Database Administrator |
Machine Learning Engineer | Quantitative Analyst |
Business Intelligence Analyst | Data Architect |
Data Engineer | Business Analyst |
How to get job in Data Science field?
- Degree: Obtain a relevant degree or go for online certification,
- Programming: Learn programming languages and tools,
- Resume: Build a resume and start sharing it in your network,
- Experience: Gain experience,
- Networking: Network either online on linkedin or offline,
- Stay up-to-date with industry trends,
- Apply for jobs: Apply for jobs on job websites like linkedin, naukri, indeed etc.
Which companies hires for Data Science related profile?
Amazon | Walmart | |
Apple | Microsoft | |
IBM | JP Morgan | |
Uber | Tesla | |
Airbnb | Netflix | and what not. |
What is the main sectors in which Data Science graduates can work?
Technology | Energy |
Finance | Healthcare |
Retail | Government |
Marketing | Education |
Some relevant online websites to do certification in Data Science?
Coursera | Analytics Vidhya |
edX | Dataquest |
Udacity | Fast.ai |
DataCamp | Kaggle |
Towards Data Science | IBM Data Science Community |
Solved Question Paper:
- Data Science – Solved Question Paper – To Score Better – RGPV (IT-8003)
- Includes topics such as: big data architecture style, role of relational databases, characteristic of big data, normal distribution, mean ,median, mode, mean and variance of binomial distribution, role of support vector machine in data analysis, naive bayes classifier, evolution of data management, etc.
Data Science Notes pdf:
- DATA SCIENCE : THEORIES , MODELS , ALGORITHMS , AND ANALYTICS – by Sanjiv Ranjan Das
- Good 462 pdf,
- Lecture Noted on Data Preparation and Analysis
- 79 page pdf,
Data Science Question Papers pdf:
- it-8003-2-data-science-jun-2020
- cs-503-a-data-analytics-jun-2020
- it-702-a-data-science-dec-2020
- Model Question Papers for Data Science Course
- Question bank – Nagarjuna University
FAQs:
Q1. Is Data Science an interesting field?
Yes, data science is a very interesting field because of the following reasons:
– Solving real-world problems using predictive modeling, natural language processing, image and video analysis, fraud detection etc.
– Variety of work,
– Constantly evolving,
– High demand.
Q2. Benefits of pursuing a career in Data Science:
a. Growing demand for Data Science professionals,
b. Diverse job opportunities,
c. High earning potential,
d. Opportunities for innovation and creativity.
Q3. What are the different algorithms of data science?
Classification, regression, clustering, dimensionality reduction, preprocessing etc.
Application of –
Classification: spam detection, image recognition,
Regression: stock prices,
Clustering: Customer grouping/clustering etc.