Expressway to Data Science: Python Programming Specialization
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!**
Course Content
01. introduction-python-fundamentals
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A Message from the Professor
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003 01_specialization-overview.mp4
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006 02_welcome-and-introductions.mp4
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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
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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
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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
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043 desktop.ini
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046 01_introduction-to-variables.mp4
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049 02_assignment-operation.mp4
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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
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059 01_arithmetic-operations.mp4
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060 02_lab-2_instructions.html
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063 03_unlock-lab-2-solutions_exam.html
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066 01_relational-operations-boolean-data-and-logical-operations.mp4
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067 02_lab-3_instructions.html
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070 03_unlock-lab-3-solutions_exam.html
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073 04_module-2-assignment.mp4
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074 05_module-2-assignment_instructions.html
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077 06_unlock-module-2-assignment-solutions_exam.html
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078 07_learning-reflection-assignment_peer_assignment_instructions.html
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081 08_congratulations.mp4
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084 01_what-is-flow-control.mp4
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087 02_branching-and-if-statements.mp4
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088 03_lab-1_instructions.html
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091 04_unlock-lab-1-solutions_exam.html
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094 01_multiple-branches.mp4
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095 02_lab-2_instructions.html
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098 03_unlock-lab-2-solutions_exam.html
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101 01_decision-tree.mp4
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102 02_lab-3_instructions.html
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105 03_unlock-lab-3-solutions_exam.html
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108 04_module-3-assignment.mp4
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109 05_module-3-assignment_instructions.html
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111 06_unlock-module-3-assignment-solutions_exam.html
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112 07_learning-reflection-assignment_peer_assignment_instructions.html
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115 08_congratulations.mp4
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116 desktop.ini
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119 01_why-do-we-need-repetitions.mp4
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122 02_condition-based-repetition.mp4
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123 03_lab-1_instructions.html
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126 04_unlock-lab-1-solutions_exam.html
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129 01_count-based-repetition.mp4
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130 02_lab-2_instructions.html
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133 03_unlock-lab-2-solutions_exam.html
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136 01_continue-and-break.mp4
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137 02_module-4-assignment_instructions.html
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140 03_unlock-module-assignment-solutions_exam.html
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141 04_learning-reflection-assignment_peer_assignment_instructions.html
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144 05_congratulations.mp4
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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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