Top 5 Tools That Every Budding Data Scientist Should Know About

  • Data Science as a career option has become hugely popular owing to the rising demand of “Data Scientists” in almost every industry. As per statistics by Team lease - India will face a shortage of 2,00,000 Skilled Data professionals over the next 3 years. The US also faces a shortage by about 60% of its Total Demand in the data Analytics domain.

    According to TeamLease, a staffing solutions company, data scientists with around 5 years' experience are earning over 75 lakh per annum as compared to 8-15 lakh for CAs and 5-8 lakh for engineers with the same experience level.

    A Data Scientist is a super man in the analytics domain. He needs to be well versed with Statistics, Data Mining, Business Analytics and Machine learning Skills so that he can solve complex business problems.

    Given below are 5 “Must Know Skills” for a Data Scientist

    • Knowledge of Statistics – Statistics is the primary pillar for a career in data analytics. Analytics tools like SAS, R Python all run on models like Time series, linear regression, etc for which knowledge of statistics is an absolute must. At Ivy the Business Analytics certification course lays a strong emphasis on Statistics.
    • Knowledge of Data Extraction Tools – SQL is the most commonly used tool for extraction of structured or unstructured data. Next in line is NoSQL. However companies using No SQL are still using SQL for legacy systems. A Data Scientist should understand the structure of Hadoop so as to pull data from the system. One of the first few tools taught in the Business Analytics Certification programme is SQL so that students develop a strong basic understanding of this skill.
    • Knowledge of Data Analysis Tools - Statistics forms the basis of most of the Analytics tools and hence a basic understanding about the statistical terms, how to read and interpret statistical data is required. At Ivy Pro School, all students are given refresher classes on statistics before they start their deep dive into learning Analytics tools.

    o   SAS: As per Analytics Vidhya “SAS is the undisputed market leader in commercial analytics space. The software offers huge array of statistical functions has good GUI (Enterprise Guide & Miner) for people to learn quickly and provides awesome technical support.”

    o   R: R is currently the most popular tool for data scientists. Almost everything (algorithm, method, etc) in statistics and data mining is already implemented in R that's why it is the first choice of any data scientist. It is also an object-oriented language, so understanding R makes it easier for you to learn other languages,

    o   Python: Python is often praised for being an easy-to-understand language and is being used as the tool for Machine Learning.

    • Knowledge of Visualization tools
      Tableau is a popular tool, especially in Silicon Valley, mostly because they are a startup company from the area. It is regarded as one of the most preferred for Data Visualization.
    • Machine Learning:

    This is perhaps the area most in flux with new tools emerging daily. Most established and widely used is perhaps Scikit-learn which utilises Python for machine learning. Then of course there is Spark MLlib which is Apache’s own machine learning library for Spark and Hadoop. Ivy’s course on Machine Learning with Python involves the hands on study of parallel computing, Natural Language Processing and Supervised/Unsupervised learning.

     

    Ivy Pro School (Ivy) is a pioneer in Big Data Analytics. Ranked among the Top 10 Big data Analytics institutes in the country for the last 3 years, Ivy has trained more than 12500 professions. Ivy Professional School is the official learning partner to large Analytics companies like Genpact, HSBC, ITC. Ivy’s Big Data Analytics Certification course in Bangalore, Kolkata and New Delhi is offered to students as a classroom session. In other cities in India it is available online.