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UPSC Previous year paper for AD Census Operations (Technical) & Statistical Officer (Planning/Statistics) Syllabus of the Test:  (1) Statistical Methods (2) Sampling Techniques/Survey Methodology (3) Demography and Vital Statistics (4) Fundamentals of Applied Multivariate Analysis (5) Official Statistics (6) Basic knowledge in Computer Applications UPSC 2017 Paper   For PDF file, click on the below link: https://drive.google.com/file/d/14oDfPYGI9bA2g0m-0OmfexHS8LOgaf3j/view?usp=sharing (There are 25 slides) For PDF file, click on the below link: https://drive.google.com/file/d/14oDfPYGI9bA2g0m-0OmfexHS8LOgaf3j/view?usp=sharing Any comments or suggestions are welcome. Subscribe our Youtube Channel----->  Thanks for reading this blog.   

Hiring alert for entry-level in the Data Science/ Data analyst/ Business analyst domain. Share with your friends and please like and comment for helping the right candidate (The link may expire at any time. Apply fast !!!) 1.  Red Hat - Business Analyst Experience: 0+ years 2.  Thoughtworks - Data engineer Experience: 0-1 years Skills: Python/Scala, NoSQL 3.  Fractal - Data Scientist Experience: 1+ years (Not mentioned though) Skills: Python/R, ML stack, Stats 4.  Mastercard - Analyst Experience: 1+ years 5.  Media.net - Product Analyst Experience: 1-2 years Skills: Advance SQL, Market research 6.  American Express - Analyst Experience: 1+ years Skills: R/Python, VBA, SAS 7.  dunnhumby - Data Scientist Experience: 0+ years Skills: Python, SQL, Hadoop, Pyspark 8.  JLL - Research Analyst Experience: 0+ years 9.  S&P Global - Data Researcher I Experience: 0+ years 10.  InMobi - Analyst Experience: 0-2 years Skills: Excel, SQL, Python, VBA, PowerBI 11.  Shell - Data Analyst

 What is a Hypothesis in this Hypothetical World? Hypothesis: A hypothesis is an explanation for an observed problem or phenomenon based on previous knowledge or observations. Often called a research question, a hypothesis is basically an idea that must be put to the test.       Research questions should lead to clear, testable predictions. The more specific these predictions are, the easier it is to reduce the number of ways in which the results could be explained. Some problems require a fair amount of information and knowledge before one can formulate useful hypotheses, particularly if the problems are complex in nature. Characteristics of hypothesis: Hypothesis must possess the following characteristics: Hypothesis should be clear and precise. If the hypothesis is not clear and precise, the inferences drawn on its basis cannot be taken as reliable. Hypothesis should be capable of being tested. In a swamp of untestable hypotheses,  many a time the research programmes have bogged dow

 Hiring alerts  for freshers in the Data Science/ Data analyst/ Business Analyst Domain (The link may expire at any time. Apply fast !!!) 1. Hewlett Packard Enterprise - Data Scientist Experience: 0+ years 2. JPMorgan Chase & Co. - Business Analyst I Experience: 0+ years 3. GE - Data scientist Experience: 1+ years (not mentioned though) 4. Gartner - Market Researcher Experience: 0-3 years 5. WPP - Data analyst Experience: 0+ years Skills: Alteryx/Informatica, MS office 6. CARS24 - Business Analyst Experience: 1+ years 7. American Express - Analyst - Data Science Experience: 1-2 years Skills: ML stack, NLP 8. Cognizant - Programmer Analyst Experience: 0+ years 9. Ryan - Associate Business Analyst Experience: 0+ years (not mentioned though) Skills: SQL, VBA 10. Piramal Group - Data Scientist Experience: 0+ years 11. Nasdaq - Interns (Various roles including data analyst/business analyst) Eligibility: 2023/2024 grads 👉 The link may expire at any time. Apply fast !!! 👉 D

  Basic Concepts of Data Science and Machine Learning  Data Science is the extraction and analysis of the relevant information from Data. Machine Learning  is the part of Data Science, which enables the system to process datasets autonomously without any human interference by utilizing various algorithms to work on the massive volume of data generated and extracted from numerous sources.  Benefits: Data Science Helps in finding and refining target viewers  Ensure better communication between service providers and service utilizers. Improved business value and better risk analysis.  Machine Learning Supportive in marketing and predicting accurate sales forecasts Helpful inaccurate medical diagnoses Supportive in the elimination of data duplication and erroneousness Caring in spam detection Provide appropriate product recommendation Required Expertise Data Science  Programming Skills Data Warehousing  Statistics Mathematics Software Engineering Data visualization and communication  Mach