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!
What is Data, Why Data is so Important?, Data Ecosystem, Data Driven Decision Making, Steps of Data Analysis Process. Case study:- Google employee records.
12 Nov | 03:01 PM | 90 min
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.
16 Nov | 03:01 PM | 90 min
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.
19 Nov | 03:01 PM | 90 min
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.
23 Nov | 03:01 PM | 90 min
Introduction to EDA, Filter using where function, Sorting array data, Reshape Function, Broadcasting Numpy Array. Case Study :- Myntra Fashion Data Analysis.
26 Nov | 03:01 PM | 90 min
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.
30 Nov | 03:01 PM | 90 min
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.
03 Dec | 03:01 PM | 90 min
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.
07 Dec | 03:01 PM | 90 min
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..
10 Dec | 03:01 PM | 90 min
This practical, live instructed python programming course teaches you python programming fast. Mentor use case studies in each class and you will build & deploy a web app by the end of this course.View Details
Learn and apply fundamental machine learning concepts in this specialisation, get real-world experience with the capstone project. This specialisation covers concepts like regression, classification, model evaluation, clustering and building machine learning web apps using flask, deploying machine learning model to cloud. All classes are live instructed by mentor accompanied by unique "notebook" to revise and practice the concepts.View Details
AI is growing exponentially. From self driving cars to movie recommendations to cancer detection, AI is helping us in our daily lives. This Deep Learning specialisation is foundational program that will help you kick start your career in AI. You will learn ANN, CNN, RNN and how to build them.....View Details