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Python Power Up

Coding Foundations for Data Wizards

Avishek Majumder

Begin your data science adventure with our introductory course, focusing on Python programming essentials. Master Python setup, syntax, and control structures. Dive into data structures like lists and tuples, and enhance your skills with essential algorithms and Python libraries. Perfect for beginners aiming to build a strong foundation in Python for data science.

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What's inside

Learning objectives

Grasp python programming basics and set up your python environment.
Understand and implement essential data structures like lists, tuples, and dictionaries.

Develop algorithmic thinking for problem-solving.
Learn basic algorithms for sorting and searching, and get introduced to complexity analysis.

Grasp python programming basics and set up your python environment.
Understand and implement essential data structures like lists, tuples, and dictionaries.
Develop algorithmic thinking for problem-solving.
Learn basic algorithms for sorting and searching, and get introduced to complexity analysis.

Syllabus

Unit 1.1.1 Python Basics and Environment Setup

Introduction to Python Programming

Setting up Python Environment

Basic Syntax and Control Structures

Functions and Modules

Working with Python Libraries

Understanding Basic Data Structures: Lists, Tuples, Sets, Dictionaries

Algorithmic Thinking and Problem Solving

Basic Algorithms: Sorting and Searching

Introduction to Complexity Analysis

Unit2. 1.2 Introduction to Data Structures and Algorithms

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops Python programming essentials, data structures, and algorithmic thinking, which are core skills for data science

Taught by Avishek Majumder, who is recognized for his work in data science and Python programming

Emphasizes practical skills through hands-on labs and interactive materials

Builds a strong foundation for beginners, providing a comprehensive introduction to Python for data science

Requires students to come in with no prior programming experience

Focuses on essential Python libraries for data science, such as NumPy and Pandas

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Power Up: Coding Foundations for Data Wizards with these activities:

Organize Course Materials

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Establish a structured approach by organizing notes, assignments, quizzes, and exams for easy reference and review.

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Create folders or use a note-taking app to categorize materials.
Review materials regularly to reinforce your understanding.

Revisit Python Syntax

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Ensure familiarity with Python's syntax by reviewing the core syntax elements, such as keywords, operators, and indentation.

Browse courses on Python Syntax

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Go through the course materials or online tutorials that cover Python syntax.
Practice writing simple Python code snippets to refresh your memory.

Review Basic Programming Concepts

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Strengthen your foundation by revisiting fundamental programming concepts, such as variables, data types, and control structures.

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Refer to textbooks or online resources that cover basic programming.
Practice writing simple programs to reinforce your understanding.

Two other activities

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Practice Python Exercises

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Reinforce your understanding of Python basics by practicing exercises involving syntax, control structures, and data structures.

Browse courses on Python

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Find online coding platforms or exercises.
Start solving exercises related to the topics covered in the course.
Review the solutions and identify areas for improvement.

Build a Mini Python Project

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Apply your Python skills by building a small project that demonstrates your knowledge and creativity.

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Identify a problem or idea that can be solved using Python.
Design and plan the project, including the functionality and user interface.
Develop the project using Python, implementing the necessary code and algorithms.
Test and debug the project to ensure it functions correctly.

Career center

Learners who complete Python Power Up: Coding Foundations for Data Wizards will develop knowledge and skills that may be useful to these careers:

Data Scientist

As a Data Scientist at various companies such as Google, Amazon, and Facebook, you examine and analyze data using machine learning and statistical techniques to extract insights that help businesses make informed decisions. Python is a significant part of the Data Scientist's toolkit. This course provides a solid foundation in Python and its essential data structures for any data scientist looking to excel in the field.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts in organizations of all sizes explore data to identify patterns and trends from a data set. They collect and analyze raw data, translate the data into understandable formats, and present it to help companies make informed decisions. This course introduces Python, a must-have tool for any data analyst, and its essential data structures.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models that power a variety of applications, from search engines to self-driving cars. Familiarity with Python is key for Machine Learning Engineers. This course provides a crucial foundation for any aspiring Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Visualization Engineer

Data Visualization Engineers take raw data and turn it into visual representations, charts, and graphs. Proficiency in Python is a key skill for Data Visualization Engineers. This course can help build a foundation in Python and its essential data structures for aspiring Data Visualization Engineers.

See salaries and explore the career path for Data Visualization Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. Many industries employ these professionals, from finance to healthcare. Python is commonly used in software engineering, and this course may be useful in building a strong foundation in the language and its data structures.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators design, implement, and maintain databases. They ensure that the data is stored and organized appropriately. A sound understanding of data structures and Python are both helpful skills for Database Administrators to have. This course provides a foundation in both of these areas and can be useful in a career as a Database Administrator.

See salaries and explore the career path for Database Administrator

Business Intelligence Analyst

Business Intelligence Analysts use data to provide insights that help organizations make better decisions. They often work with large amounts of data, which they analyze to identify trends and patterns. Python is a useful tool for Business Intelligence Analysts, and this course may be helpful in developing a foundational understanding of Python and its data structures.

See salaries and explore the career path for Business Intelligence Analyst

Financial Analyst

Financial Analysts evaluate and interpret financial data to make investment recommendations. This work typically requires a background in mathematics and finance, but Python is increasingly used in finance. This course can help build a foundation in Python and its essential data structures, which may be useful for Financial Analysts.

See salaries and explore the career path for Financial Analyst

Information Security Analyst

Information Security Analysts protect computer networks and systems from cyberattacks. They work with various tools and technologies to find vulnerabilities and implement security measures. A foundational understanding of Python and its data structures can be helpful. This course provides a stepping stone towards building this foundation.

See salaries and explore the career path for Information Security Analyst

Actuary

Actuaries use mathematics and statistics to assess the financial impact of risk and uncertainty. They typically work in the insurance and finance industries. While not a requirement, Python is increasingly used by Actuaries. This course may be helpful in developing a foundational understanding of the language and its data structures.

See salaries and explore the career path for Actuary

Statistician

Statisticians collect, analyze, interpret, and present statistical data. They work in a variety of industries, including government, healthcare, and business. Python is becoming increasingly used by Statisticians, and this course may be useful in building a basic understanding of the language and its data structures.

See salaries and explore the career path for Statistician

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This role typically requires a strong background in mathematics and statistics. Some Operations Research Analysts also use Python in their work. This course may be helpful in developing a foundational understanding of the language and its data structures, which could be an asset to aspiring Operations Research Analysts.

See salaries and explore the career path for Operations Research Analyst

Risk Analyst

Risk Analysts identify, assess, and manage risks within organizations. Many industries employ Risk Analysts, including finance, insurance, and healthcare. This course can help build foundational knowledge in Python and its essential data structures, which may be useful for aspiring Risk Analysts.

See salaries and explore the career path for Risk Analyst

Quantitative Analyst

Quantitative Analysts apply mathematical and statistical techniques to financial data. They typically work in the finance industry, where Python is increasingly used. This course may be useful in developing a foundational understanding of the language and its data structures, which could be an asset to aspiring Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Market Researcher

Market Researchers gather and analyze data about consumer behavior. They use this information to help businesses make informed marketing decisions. This course can help build a strong foundation in Python and its essential data structures, which may be useful for Market Researchers.

See salaries and explore the career path for Market Researcher

Reading list

We've selected 24 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Power Up: Coding Foundations for Data Wizards.

Python Crash Course, 2nd Edition

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This book, written in the same language as the course, serves as a supplemental reading to the course. It delves into Python programming with a practical, hands-on approach that complements the course's focus on Python basics and foundational concepts.

Python Power Up

Coding Foundations for Data Wizards

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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