Upcoming dates

Dates

Location

Time

Price

Dates July 26 - August 20
Location Online
TimeSun+Thu, 9am-12pm
Price2,400 NIS

Curriculum summary

01

Introduction to Python

02

Python Functions

03

Data Structures

04

Files and APIs

05

Jupiter Notebook and Numpy

06

Advanced Pandas

07

Exercises and Final Project

Module 1 Introduction to Python

Get an introduction to Python and Pycharm. Learn how to use Variables, Arithmetics, Strings and Flow control

Module 2 Python Functions

Learn how to use Exceptions, Dates and time, Modules Importing types, creating custom modules. Naming conventions, Using built-in functions and modules and more.

Module 3 Data Structures

Learn everything you need to start working with Data Structures. Lists, sets, dictionaries, tuples, Iteration, zip, enumerate and much more

Module 4 Files and APIs

Learn how to work with Files (Read file content, permissions, path types, reading text and CSV files and manipulate the data etc) and APIs ( HTTP overview, Request module, GET and POST, Headers and more)

Module 5 Jupiter Notebook and Numpy

Start working with Jupiter Notebook and get an intro to Numpy and Pandas (Pandas Series, DataFrame, Panel,Reindexing, Iteration, Sorting and much more)

Module 6 Advanced Pandas

Statistical Functions
Window Functions
Aggregations
Missing Data
GroupBy
Merging/Joining
Concatenations
Date Functionality
Timedelta
Categorical Data
Visualization
IO Tools
Sparse Data

Module 7 Exercises and Final Project

Advanced exercises using Panda and End-to-end Final Exercise

01

Introduction to Python

Module 1 Introduction to Python

Get an introduction to Python and Pycharm. Learn how to use Variables, Arithmetics, Strings and Flow control

02

Python Functions

Module 2 Python Functions

Learn how to use Exceptions, Dates and time, Modules Importing types, creating custom modules. Naming conventions, Using built-in functions and modules and more.

03

Data Structures

Module 3 Data Structures

Learn everything you need to start working with Data Structures. Lists, sets, dictionaries, tuples, Iteration, zip, enumerate and much more

04

Files and APIs

Module 4 Files and APIs

Learn how to work with Files (Read file content, permissions, path types, reading text and CSV files and manipulate the data etc) and APIs ( HTTP overview, Request module, GET and POST, Headers and more)

05

Jupiter Notebook and Numpy

Module 5 Jupiter Notebook and Numpy

Start working with Jupiter Notebook and get an intro to Numpy and Pandas (Pandas Series, DataFrame, Panel,Reindexing, Iteration, Sorting and much more)

06

Advanced Pandas

Module 6 Advanced Pandas

Statistical Functions
Window Functions
Aggregations
Missing Data
GroupBy
Merging/Joining
Concatenations
Date Functionality
Timedelta
Categorical Data
Visualization
IO Tools
Sparse Data

07

Exercises and Final Project

Module 7 Exercises and Final Project

Advanced exercises using Panda and End-to-end Final Exercise

Meet our Experts

Ayelet Goldzweig |

An experienced data analyst and researcher, Ayelet has an MA in Cognitive Neuropsychology from the Hebrew University, and vast experience working in data-driven startups. Ayelet enjoys seeing her students’ eyes shining in that special moment of insight – when they have learned something new.

Got any questions?

Who is this for?

This course is tailored for data analysts, product managers, digital marketers and everyone who is interested in getting into the data analysis world, but has prior experience with SQL or other programming languages

How practical is this workshop?

This is a very technical, hands-on workshop. We intend to make you write code until you drop 🙂

Why is this course relevant today?

This course will prepare you for the highly competitive 21st-century world of data analysis. As the global community begins to rely more and more heavily on data, the role of data analysts in the workplace is becoming increasingly important.

After completing our course, you will find that your learned data analysis skills will make you an invaluable member of any team.

What language is this course taught in?

This course is taught in Hebrew. However, as the startup industry often requires a working knowledge of English, all of the Hebrew course presentations are in English and students are expected to present their final projects in English.

What practical skill sets can I expect to have upon completion of this course?

Upon completion of this course, you will be able to:

  • Use Python in order to analyze datasets
  • Present data-driven insights to key stakeholders using data visualization tools and dashboards.
  • Tell compelling stories with your data, driving informed business decisions.

What is the time commitment associated with this course?

The course meets twice a week in the evening for 3 hours. Beyond the course, you are expected to invest approximately 3-4 hours of independent study at home.

Is the course accessible online?

Absolutely! We want you to log into class from anywhere you want and is most convenient for you. The lesson are live in the form of a virtual classroom.