Data Handling using Pandas -I

  • Introduction to Python libraries- Pandas, Matplotlib.
  • Data structures in Pandas – Series and Data Frames.
  • Series: Creation of Series from – ndarray, dictionary, scalar value
  • mathematical operations; Head and Tail functions; Selection, Indexing and Slicing
  • Data Frames: creation – from dictionary of Series, list of dictionaries
  • Text/CSV files display, iteration
  • Operations on rows and columns
  • add, select, delete, rename
  • Head and Tail functions
  • Indexing using Labels, Boolean Indexing; Joining, Merging and Concatenation.
  • Importing/Exporting Data between CSV files and Data Frames.

Data handling using Pandas – II

  • Descriptive Statistics: max, min, count, sum, mean,
  • median, mode, quartile, Standard deviation, variance
  • DataFrame operations: Aggregation, group by, Sorting
  • Deleting and Renaming Index, Pivoting.
  • Handling missing values – dropping and filling.
  • Importing/Exporting Data between MySQL database and Pandas.
  • Data Visualization
  • Purpose of plotting
  • drawing and saving following types of plots using Matplotlib – line plot
  • bar graph, histogram, pie chart, frequency polygon, box plot and scatter plot.
  • Customizing plots: color, style (dashed, dotted), width
  • adding label, title, and legend in plots.

Unit 2: Database Query using SQL

  • Math functions: POWER (), ROUND (), MOD ().
    Text functions: UCASE ()/UPPER (), LCASE ()/LOWER ()
  • LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
  • Date Functions: NOW (), DATE (), MONTH (), MONTHNAME ()
  • YEAR (), DAY (), DAYNAME ().
  • Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).
  • Querying and manipulating data using Group by, Having, Order by.
  • Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN

Unit 3: Introduction to Computer Networks

  • Introduction to networks
  • Types of network: LAN, MAN, WAN
  • Network Devices: modem, hub, switch, repeater, router, gateway
  • Network Topologies: Star, Bus, Tree, Mesh.
  • Introduction to Internet, URL, WWW and its applications- Web, email, Chat, VoIP.
  • Website: Introduction, difference between a website and webpage
  • static vs dynamic web page, web server and hosting of a website.
  • Web Browsers: Introduction, commonly used browsers
  • browser settings, add-ons and plug-ins, cookies.

Unit 4: Societal Impacts

  • Digital footprint, net and communication etiquettes
  • data protection, intellectual property rights (IPR)
  • plagiarism, licensing and copyright
  • free and open source software (FOSS)
  • cybercrime and cyber laws, hacking, phishing
  • cyber bullying, overview of Indian IT Act.
  • E-waste: hazards and management.
  • Awareness about health concerns related to the usage of technology.