Introduction to Data Science?

Topics

  1. Introduction to Data Science
  2. Introduction to Programming
  3. Introduction to Python: Installation and Running
  4. Jupyter Notebook Running .py file from terminal
  5. Google Colab

Introduction to Data Science?

 

           Why Data Science?

  • Every year, the world creates huge amounts of data that's only accelerating.
  • Company now have access to unprecedented amounts of data, which they need to process and understand.
  • Data scientists are responsible for transforming this growing ocean of data into valuable and actionable information.
  • The Bureau of Labor Statistics projects 31.4 percent employment growth for data scientists between 2020 and 2023. In that period, an estimated 19,800 Jobs should open up.


Top Skills for Data Scientists

  • Programming

  • DBMS (Database Management System)

  • Mathematics and Statistics

  • Data Visualization

  • Machine learning

  • Deep Learning

  • Communication Skills

Roles and Responsibilities

On a more technical level, the core job responsibilities of data scientists include:

  • Using database tools and programming languages to obtain, manipulate and analyse data.
  • Creating machine learning algorithms across traditional and deep learning.
  • Analysing historical data to identify trends and support optimal decision-making.
  • Communicating with both technical and non-technical stakeholders.
  • Keeping up-to-date with advancements in technology.


Introduction to Programming

What is Programming Language

  • A Programming language is a set of rules that provides a way of telling a computer what operations to perform.
  • A program is set of instructions that is executed by a computer to accomplish a particular task.
  • It provides a linguistic framework for describing computations.
  • It is set of rules for communicating an algorithm.
  • It is a notational system for describing computation in a machine readable and human readable form.
  • Any Common human language has words, vocabulary, symbols and Grammatical rules.
  • Programming languages also have words, vocabulary, symbols and Grammatical rules.
  • These grammatical rules are called as syntax.
  • Each programming language has a different set of syntax rules.

Computer Programmer

Someone who can write computer programs or in other words, someone who can do computer programming is called a Computer Programmer.

Algorithm

An Algorithm is a step-by-step procedure to resolve any problem. An algorithm is an effective method expressed as a finite set of well-defined instructions.

Example:

  • Let a1,a2,a2,.......a100 be any random number selected between 1 and 100.
  • If a1 is prime then add to a list called as list_prime.
  • If a1 is composite then add to a list called as list_composite.
  • Skip to next number.
  • Find out sum of numbers in the list_composite.

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Data science is the process of extracting information from data. It involves collecting, cleaning, analyzing, and interpreting data. Data scientists work with a variety of data types, including structured data (e.g., numbers in spreadsheets), unstructured data (e.g., text and images), and big data (e.g., social media data).

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Data science

Jupyter Notebook

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  Introduction to Jupyter Notebook A Jupyter Notebook is an open source web application that allows data scientists to create and share documents that include live code, equations, and other multimedia resources. Use of Jupyter Notebook: Jupyter notebooks are used for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning. Advantage of Using Jupyter Notebook: Useful for "showing the work" through a combination of code, markdown, links, and images. Jupyter notebooks can also be converted to a number of standard output formats (HTML, PowerPoint, LaTex, PDF, Restructured Text, Markdown, Python) Working of Jupyter Notebook Step 1) Open Jupyter Notebook from apps. step 2) In your default browser a web page will open like this and default directory will be C drive of your system.   Step 3) If you want to run and save your code in other directory then fol...
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What is Python?

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What is Python?                                                                          Python is high-level, general-purpose and a very popular programming language. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting edge technology in Software Industry. Advantages of Python Works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Simple syntax similar to the English language. Syntax that allows developers to write programs with fewer lines than some other programming languages. Runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Supports functional and structured programming methods as well as OOP. Provides very high-level...
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How to run Google Colab?

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Google Colab Colab is a free Jupyter notebook environment that runs entirely in the cloud. It does not require a setup. Notebooks that you create can be simultaneously edited. Supports many popular machine learning libraries which can be easily loaded in your notebook. You can perform the following using Google Colab: Write and execute code in Python. Create/Upload/Share notebooks. Import/Save notebooks from/to Google Drive. Import/Publish notebooks from GitHub. Import external datasets e.g. from Kaggle. Integrate PyTorch, TensorFlow, Keras, OpenCV. Free Cloud service with free GPU/TPU. Steps to use Google Colab step 1)  Log in to your Google account in your browser. Step 2) Open the following link: https://colab.research.google.com Once you open this link a demo notebook will be opened. Step 3) Go to file -> New Notebook A new notebook will open similar to Jupyter Notebook. Step 4) Write your code and Save it. It will be saved in your Google Drive. Note: If you want to find t...
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