Big Data

Data Analysis with Python

מספר הקורס 3590

32 סה"כ שעות אקדמאיות
4 מפגשים
* מספר המפגשים והשעות למפגש עשויים להשתנות בין קורס לקורס

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Python is considered to be one of the most efficient programming languages for data analysis. Using the Pandas library, Python provides fast, flexible, and expressive data structures designed to make working with data both easy and intuitive.

This course will introduce the basics of the Python environment, including fundamental programming concepts such as control structures, functions, and data structures. At its core, this training will provide you a comprehensive toolset for working with data, including techniques for reading and writing diverse files, data cleaning and wrangling, analysis and visualization.


On Completion, Delegates will be able to


Who Should Attend

Data Analysts


Business Intelligence professionals

Data Engineers


תכנית הלימודים

PDF להורדה

Python Crash Course

  • Working with data types
  • Slicers
  • Control structures
  • Understanding Python’s Data Structures
  • Implementing Functions

Pandas – Series

  • Understanding one-dimensional labeled arrays
  • Create a Series from Python objects
  • Using the read_csv() method
  • Attributes
  • Methods
  • Arguments and Parameters
  • Extracting Series values

Pandas – DataFrames

  • Understanding two-dimensional data structures
  • Selecting columns from a DataFrame
  • Adding new columns to a DataFrame
  • Working with Nulls
  • Sorting a DataFrame
  • Filter a DataFrame – conditions and methods
  • Retrieving rows by Index position
  • Delete rows or columns from a DataFrame
  • Rename Index labels or Columns in a DataFrame
  • Common String methods

Using MultiIndex

  • Understanding multiIndexes in Pandas
  • Creating a multiIndex
  • Extracting rows from a multiIndex
  • Common methods

Group By

  • Basic operations
  • Retrieving groups
  • Common methods
  • Group by multiple columns
  • Iterating through groups

Joining and Concatenating Data

  • Join operations between DataFrame objects
  • combining together Pandas objects

Working with Dates

  • Understanding Python’s datetime module
  • Pandas Timestamp and DateTimeIndex objects
  • Pandas DateOffset and TimeDelta objects
  • Common methods

Python Pandas – Panels

  • Understanding the axis of a Panel Object
  • Common methods and attributes
  • Extracting data

Pandas I/O API

  • Object conversions
  • Export DataFrame to csv
  • Importing and exporting Excel files


  • Using the .plot() method
  • Bar Graphs
  • Pie Charts
  • Histograms


  • Previous experience with data analysis
  • Basic understanding of SQL
  • Basic understanding of Programming concepts

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