Expressway to Data Science: Python Programming Specialization

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About Course

Ready to unlock the world of data science with Python? 💻 This **Expressway to Data Science: Python Programming Specialization** course, brought to you by the University of Colorado, is your perfect launchpad!

Are you tired of starting programming languages only to hit a wall and give up? This specialization is specifically designed for beginners with little to no programming experience who want to use Python for data analysis.

Dive into **Introduction to Python Fundamentals**, where you’ll master basic input/output methods and write your very first program. Next, **Introduction to Python Functions** equips you with the power to create reusable and compatible code through functions and base packages.

Finally, **Python Packages for Data Science** introduces essential packages like Pandas, Numpy, Matplotlib, and Seaborn, giving you the tools to tackle real-world data science challenges.

Think of Python programming like building with LEGO – follow the instructions, choose the right pieces, and create something awesome! This specialization makes learning Python easy and fun, helping you avoid frustration and achieve your data science goals.

**This course is completely FREE and available on our platform. It’s part of a curated collection of top-rated courses from leading providers like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more!**

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What Will You Learn?

  • Basics of Python programming
  • Data manipulation packages such as Numpy and Pandas
  • Data visualization packages such as Matplotlib and Seaborn

Course Content

01. introduction-python-fundamentals

  • A Message from the Professor
  • 003 01_specialization-overview.mp4
    00:00
  • 006 02_welcome-and-introductions.mp4
    00:00
  • 007 03_assessment-strategy_instructions.html
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  • 008 desktop.ini
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  • 011 01_python-environment.mp4
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  • 014 02_hello-world.mp4
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  • 017 03_quotations.mp4
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  • 018 04_lab-1_instructions.html
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  • 021 05_unlock-lab-1-solutions_exam.html
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  • 024 01_python-input.mp4
    00:00
  • 027 02_combine-input-and-print.mp4
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  • 028 03_lab-2_instructions.html
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  • 031 04_unlock-lab-2-solutions_exam.html
    00:00
  • 032 05_in-class-code_instructions.html
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  • 035 06_module-1-assignment_instructions.html
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  • 038 07_unlock-module-1-assignment-solutions_exam.html
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  • 039 08_learning-reflection-assignment_peer_assignment_instructions.html
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  • 042 09_congratulations.mp4
    00:00
  • 043 desktop.ini
    00:00
  • 046 01_introduction-to-variables.mp4
    00:00
  • 049 02_assignment-operation.mp4
    00:00
  • 052 03_types-of-variables.mp4
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  • 053 04_lab-1_instructions.html
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  • 056 05_unlock-lab-1-solutions_exam.html
    00:00
  • 059 01_arithmetic-operations.mp4
    00:00
  • 060 02_lab-2_instructions.html
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  • 063 03_unlock-lab-2-solutions_exam.html
    00:00
  • 066 01_relational-operations-boolean-data-and-logical-operations.mp4
    00:00
  • 067 02_lab-3_instructions.html
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  • 070 03_unlock-lab-3-solutions_exam.html
    00:00
  • 073 04_module-2-assignment.mp4
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  • 074 05_module-2-assignment_instructions.html
    00:00
  • 077 06_unlock-module-2-assignment-solutions_exam.html
    00:00
  • 078 07_learning-reflection-assignment_peer_assignment_instructions.html
    00:00
  • 081 08_congratulations.mp4
    00:00
  • 084 01_what-is-flow-control.mp4
    00:00
  • 087 02_branching-and-if-statements.mp4
    00:00
  • 088 03_lab-1_instructions.html
    00:00
  • 091 04_unlock-lab-1-solutions_exam.html
    00:00
  • 094 01_multiple-branches.mp4
    00:00
  • 095 02_lab-2_instructions.html
    00:00
  • 098 03_unlock-lab-2-solutions_exam.html
    00:00
  • 101 01_decision-tree.mp4
    00:00
  • 102 02_lab-3_instructions.html
    00:00
  • 105 03_unlock-lab-3-solutions_exam.html
    00:00
  • 108 04_module-3-assignment.mp4
    00:00
  • 109 05_module-3-assignment_instructions.html
    00:00
  • 111 06_unlock-module-3-assignment-solutions_exam.html
    00:00
  • 112 07_learning-reflection-assignment_peer_assignment_instructions.html
    00:00
  • 115 08_congratulations.mp4
    00:00
  • 116 desktop.ini
    00:00
  • 119 01_why-do-we-need-repetitions.mp4
    00:00
  • 122 02_condition-based-repetition.mp4
    00:00
  • 123 03_lab-1_instructions.html
    00:00
  • 126 04_unlock-lab-1-solutions_exam.html
    00:00
  • 129 01_count-based-repetition.mp4
    00:00
  • 130 02_lab-2_instructions.html
    00:00
  • 133 03_unlock-lab-2-solutions_exam.html
    00:00
  • 136 01_continue-and-break.mp4
    00:00
  • 137 02_module-4-assignment_instructions.html
    00:00
  • 140 03_unlock-module-assignment-solutions_exam.html
    00:00
  • 141 04_learning-reflection-assignment_peer_assignment_instructions.html
    00:00
  • 144 05_congratulations.mp4
    00:00
  • 145 desktop.ini
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  • 147 01__resources.html
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  • 148 desktop.ini
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  • 150 01__resources.html
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  • 151 desktop.ini
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  • 153 01__resources.html
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  • 154 desktop.ini
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  • 156 01__resources.html
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  • 157 desktop.ini
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  • 159 01__resources.html
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  • 160 desktop.ini
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  • Section Quiz

02. introduction-python-functions

03. python-packages-data-science

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