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Data Analytics using Python specialization
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Data Analytics using Python

5

(398 ratings)

Batch Starts : September 29, 2021

This specialisation will give you the right foundation on data analysis using python and effectively use it analyze and visualize data! You will know how to collect data sing beautifulsoup, selenuim and how to analyse data using Numpy and Pandas libraries. Start your career in Data Science!

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What you'll learn

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Use the Numpy library to create and manipulate arrays.
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Use the pandas module with Python to create and structure data.
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Perform various data operations in Python's popular 'Numpy" and "Pandas" libraries.
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How to handle missing or broken data sets

Class Syllabus

  • Class 1: Introduction to data analysis

    What is Data, Why Data is so Important?, Data Ecosystem, Data Driven Decision Making, Steps of Data Analysis Process. Case study:- Google employee records
  • Class 1

    September 29, 2021 | 03:01 PM

    Introduction to data analysis

    What is Data, Why Data is so Important?, Data Ecosystem, Data Driven Decision Making, Steps of Data Analysis Process. Case study:- Google employee records
September 29, 2021 | 03:01 PM
  • Class 2: Web Scraping using Beautiful Soup

    Introduction to Web Scraping, Steps for Analysis, Inspector Tool, Introduction to HTML, Requests and types, Beautiful Soup, Parsing a HTML webpage, find, find_all Functions, Finding tags inside a tag, Limitations of Beautiful Soup. Case Study :- Mi products data collection from flipkart
  • Class 2

    October 2, 2021 | 03:01 PM

    Web Scraping using Beautiful Soup

    Introduction to Web Scraping, Steps for Analysis, Inspector Tool, Introduction to HTML, Requests and types, Beautiful Soup, Parsing a HTML webpage, find, find_all Functions, Finding tags inside a tag, Limitations of Beautiful Soup. Case Study :- Mi products data collection from flipkart
October 2, 2021 | 03:01 PM
  • Class 3: Web Scraping using Selenium

    Introduction to Selenium, Installation, Need of ChromeDriver, How to use Selenium-initial steps, Headless argument for chrome, Accessing data in Html, Finding elements using their Xpath, Scroll down a webpage Case Study :- LinkedIn Jobs Scraping
  • Class 3

    October 6, 2021 | 03:01 PM

    Web Scraping using Selenium

    Introduction to Selenium, Installation, Need of ChromeDriver, How to use Selenium-initial steps, Headless argument for chrome, Accessing data in Html, Finding elements using their Xpath, Scroll down a webpage Case Study :- LinkedIn Jobs Scraping
October 6, 2021 | 03:01 PM
  • Class 4: Introduction to Numpy

    Limitations of Lists, Introduction to numpy, Creating numpy array using different ways, 2D numpy array, Random function, astype function, Axes in data preprocessing. Case Study :- Myntra Fashion data analysis
  • Class 4

    October 9, 2021 | 03:01 PM

    Introduction to Numpy

    Limitations of Lists, Introduction to numpy, Creating numpy array using different ways, 2D numpy array, Random function, astype function, Axes in data preprocessing. Case Study :- Myntra Fashion data analysis
October 9, 2021 | 03:01 PM
  • Class 5: Statistical Analysis using Numpy

    Introduction to EDA, Filter using where function, Sorting array data, Reshape Function, Broadcasting Numpy Array. Case Study :- Myntra Fashion Data Analysis
  • Class 5

    October 13, 2021 | 03:01 PM

    Statistical Analysis using Numpy

    Introduction to EDA, Filter using where function, Sorting array data, Reshape Function, Broadcasting Numpy Array. Case Study :- Myntra Fashion Data Analysis
October 13, 2021 | 03:01 PM
  • Class 6: Introduction to Pandas

    What is Pandas, Pandas Installation, Pandas Series, Pandas Dataframe, Columns Selection, Logical Operations on Columns, Rows Selection, Rows Selection using iloc, Rows Selection using conditions, Set and Reset Index, Strings Operations on Series, String Contain Function, Changing Datatype of Series, Finding Null Values, Dealing Null Values, Dropping Null Values, Drop Function. Case Study :- Amazon Earpods Data Analysis
  • Class 6

    October 16, 2021 | 03:01 PM

    Introduction to Pandas

    What is Pandas, Pandas Installation, Pandas Series, Pandas Dataframe, Columns Selection, Logical Operations on Columns, Rows Selection, Rows Selection using iloc, Rows Selection using conditions, Set and Reset Index, Strings Operations on Series, String Contain Function, Changing Datatype of Series, Finding Null Values, Dealing Null Values, Dropping Null Values, Drop Function. Case Study :- Amazon Earpods Data Analysis
October 16, 2021 | 03:01 PM
  • Class 7: Data Analysis using Pandas

    Loading Data in Pandas, Shape and Data Type, Exploratory Data Analysis, Correlation, Sorting Dataframes Pandas nlargest Function, Pandas apply Function, Exporting Dataframe to Files, Analyze Flipkart User Trends Joins, Arguments in Pandas Merge Function, Types of Joins, Pivot Table, Groupby Function, Column Operations. Case Study :- Amazon Earpods Data Analysis
  • Class 7

    October 20, 2021 | 03:01 PM

    Data Analysis using Pandas

    Loading Data in Pandas, Shape and Data Type, Exploratory Data Analysis, Correlation, Sorting Dataframes Pandas nlargest Function, Pandas apply Function, Exporting Dataframe to Files, Analyze Flipkart User Trends Joins, Arguments in Pandas Merge Function, Types of Joins, Pivot Table, Groupby Function, Column Operations. Case Study :- Amazon Earpods Data Analysis
October 20, 2021 | 03:01 PM
  • Class 8: Data Visualization

    Introduction to Data Visualization, Introduction to Matplotlib, Installation of Matplotlib, Elements of Plot, Figure, Axis/Axes, Ticks, Customizations of a Plot, Line Plot, Bar Graph, Scatter Plot, Histogram, Box Plot, Pie Chart, Subplot Introduction to Seaborn, Seaborn Installation, Advanced Graphs using Seaborn, KDE Plot, Scatter Plot, Pair Plot, Heat Map, Topics you need to know, Count Plot Case Study :- Covid-19 data visualization
  • Class 8

    October 23, 2021 | 03:01 PM

    Data Visualization

    Introduction to Data Visualization, Introduction to Matplotlib, Installation of Matplotlib, Elements of Plot, Figure, Axis/Axes, Ticks, Customizations of a Plot, Line Plot, Bar Graph, Scatter Plot, Histogram, Box Plot, Pie Chart, Subplot Introduction to Seaborn, Seaborn Installation, Advanced Graphs using Seaborn, KDE Plot, Scatter Plot, Pair Plot, Heat Map, Topics you need to know, Count Plot Case Study :- Covid-19 data visualization
October 23, 2021 | 03:01 PM
  • Class 9: Capstone Project - StackOverflow Data Analysis

    Stack overflow is a community of over 10 million users and every year they conduct a survey to understand what programmers require and what companies are looking in programmers. This project is to get meaningful insights from the raw data using data analysis concepts from this specialisation.
  • Class 9

    October 27, 2021 | 03:01 PM

    Capstone Project - StackOverflow Data Analysis

    Stack overflow is a community of over 10 million users and every year they conduct a survey to understand what programmers require and what companies are looking in programmers. This project is to get meaningful insights from the raw data using data analysis concepts from this specialisation.
October 27, 2021 | 03:01 PM

Prerequisites

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Basic understanding of python programming

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Data Analytics using Python

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What our learners have to say about us!

Rakesh Awasti

rajeev institute of technology
5

This specialization is very interesting. As a beginner i learned many foundational concepts for data science. Mentor is very engaging and prompt to answer queries during live session.

Frequently Asked Questions

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