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Data Science Courses
Master Data Science with Python From Basics to Advanced
1 students
Last updated
Dec 2024
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Course content
Sections:
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Activities:
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Resources:
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Section 1
Contents
Announcements
001 Get to Know Your Instructor AqiY gitir
002 Course Contents What You Will Learn tJxg gitir
003 What is Data Analysis Explained sAeV gitir
004 Types of Data Analysis ayXV gitir
005 Goal for Data Analysis n0Oj gitir
006 Introduction to NumPy 3wg0 gitir
007 NumPy Variable Properties YS3N gitir
008 Importing NumPy Library Into A Jupyter Notebook cPZM gitir
009 Creating a List in Python Cryo gitir
010 Creating Arrays from the List 2b9M gitir
011 Practical Uses of NumPy Variable Properties EZUl gitir
012 Basic Operations for Statistical Analysis Using NumPy uinV gitir
013 Issues Regarding NumPy Array Reshaping knHR gitir
014 Indexing and Slicing NumPy Arrays FaJY gitir
015 Assigning Values to Arrays q34o gitir
016 Copy and Slicing Difference EEJ6 gitir
017 Queries Regarding Assigning Values to Arrays klrJ gitir
018 2 D Slicing and Referencing BREM gitir
019 Queries Regarding Indexing and Slicing wMEn gitir
020 What You Have Learned So Far HZmk gitir
021 Queries Regarding Accessing to The NumPy Work File TQDq gitir
022 Array programming with NumPy Recap Mqz8 gitir
023 Numpy Argmin and Argmax Explained Bxna gitir
024 Boolean Array in NumPy JGWx gitir
025 Suggestions Regarding Operations on NumPy Arrays 7Nan gitir
026 Mathematical Operations on NumPy Arrays Addition and Subtraction M3qU gitir
027 Use of numpy zeros and numpy ones Function in Python FDOn gitir
028 Creating an Array for a Given List dlox gitir
029 Solving an Undefined Variable NameError in Python oUKn gitir
030 Common Operations with NumPy pVaN gitir
031 Using np zeros and np ones Functions 7tXT gitir
032 Using numpy eye Function to Create an Identity Matrix kXqF gitir
033 Creating NumPy Array Using np arrange Function 6x5Z gitir
034 np linspace and np arange Function in NumPy IETJ gitir
035 Where to Save Work File wYKw gitir
036 Introducing Pandas Objects Dqy5 gitir
037 Series and Dataframe mvxX gitir
038 Creating Series Using Pandas tLJn gitir
039 Queries Regarding Creating Series Using Pandas peG9 gitir
040 Conditional Selection of Selected Elements wyWY gitir
041 Referencing Using Index Values cMEr gitir
042 What You Learnt So Far 3aN3 gitir
043 Pandas Library Recap J87B gitir
044 Accessing to Work File GikC gitir
045 Using Series in Python es1u gitir
046 How to Download and Access Work File tWqL gitir
047 Queries Regarding Downloading and Accessing Work File in Jupyter TDe3 gitir
048 Creating Series Of Cities 6t9m gitir
049 Getting Any Column From Dataframe BLc7 gitir
050 Dataframe from Single List apZX gitir
051 Creating Dataframe from Dictionary c8sT gitir
052 Creating Dataframe from Lists Using Zip GgR5 gitir
053 Getting Subset of Columns from Dataframe wrsG gitir
054 DataFrame set index and DataFrame loc Method Hpwf gitir
055 Getting The Integer Index of a Pandas DataFrame Row Fulfilling A Condition dcEo gitir
056 Queries Regarding Conditional Selection of Selected Elements 1RYe gitir
057 Introduction to Matplotlib VBRJ gitir
058 Plots with Matplotlib XUSG gitir
059 Two Methods for Plots l2Nw gitir
060 Queries Regarding Accessing to The Work File hjnk gitir
061 What We Have Learnt So Far 3mZh gitir
062 Basics of Matplotlib RCXL gitir
063 Plots with Matplotlib and Methods of Matplotlib HYKo gitir
064 Matplotlib Scatter Plot fExF gitir
065 Sample Structure of Matplotlib 1tGb gitir
066 Histograms in Matplotlib V48g gitir
067 Object Oriented Method Explained Xg1x gitir
068 How to Install Matplotlib Using Anaconda Prompt l3tK gitir
069 Some Useful Links M1hc gitir
070 Installing Matplotlib Using Anaconda Prompt 0VRR gitir
071 Creating Some Numeric Data For Visualization FkFN gitir
072 What is numpy linspace in Python qJ7Y gitir
073 Queries Regarding x shape wI4d gitir
074 Queries Regarding Using the NumPy linspace Function pMH1 gitir
075 Functional Method of Creating a Single Plot iHjo gitir
076 Object Oriented Method of Creating a Figure and Only One Subplot vDqR gitir
077 Understanding Figure object in Matplotlib l6E9 gitir
078 Plot Labeling in Matplotlib LZYX gitir
079 Queries Regarding Accessing the Matplotlib Work File Ysy0 gitir
080 Object Oriented Method of Creating Two Subplots Wt8z gitir
081 Creating Four Polar axes and Accessing them Through the Returned Array kPTo gitir
082 Queries Regarding Creating Four Polar axes C5Vb gitir
083 Queries Regarding Scattering Plot TXFY gitir
084 What Is Matplotlib and How It Works VkXr gitir
085 Methods For Plots 8vs5 gitir
086 Matplotlib Histograms FHrM gitir
087 Working on Different Methods Of Plotting Recap It5M gitir
088 Histogram Syntax and Parameters c5n1 gitir
089 Creating Histogram Using One Parameter 6X09 gitir
090 Queries Regarding Creating Histogram Y7vi gitir
091 Problem Regarding Accessing Matplotlib Work File HNYI gitir
092 NameError name plt is not defined in Python Solved MPGF gitir
093 Issues Regarding name plt is not defined in Python sDWZ gitir
094 Fixing Module Pandas Has No Attribute Error hh00 gitir
095 What Does numpy random seed Do wBqE gitir
096 Using numpy random randn Function in Python vMnv gitir
097 Query Regarding Bin Size in Matplotlib Histogram E4Yd gitir
098 Query Regarding numpy random randn Function AupF gitir
099 NameError name plt is not defined Fixed vBUX gitir
100 Histogram of Randomly Generated Values ySt9 gitir
101 Creating a Bar Chart Using One Plot suCq gitir
102 Creating Two Bar Chart Using Two Sub plots OxQ4 gitir
103 Creating Multi colored Bar Chart eYaD gitir
104 Creating Chart Using Scatter Plot and Other Plot Types 7Qcb gitir
105 Name is Not Defined Error Fixing PgeB gitir
106 What We Have Learnt So Far 1Sx5 gitir
107 Overview on Previous Lessons X85N gitir
108 What Is Python Seaborn Explained k2gm gitir
109 Differences Between Seaborn and Matplotlib VviZ gitir
110 What to Do With Seaborn T1Kl gitir
111 Dependency of Seaborn How to Import Seaborn z5jG gitir
112 Overview of Seaborn Plots Kz7n gitir
113 Where from You Can Get Help 0yOB gitir
114 How to import Seaborn in Jupiter Notebook 54Wi gitir
115 Creating Dataframe and Drawing Line Plot Jv1o gitir
116 Accessing Github Seaborn Datasets FMxc gitir
117 Loading Dataset from Github to Seaborn hOjI gitir
118 Drawing Line Plot of Total Bill and Tips 1sLk gitir
119 Query Regarding Dataset Sources ZlCA gitir
120 Drawing Line Plot of Tip and Size Qylh gitir
121 How to Adjust Style and Figure Size mT89 gitir
122 Queries Regarding Loading Dataset H2Ej gitir
123 What Replot Function Do in seaborn DB82 gitir
124 Use of Displot Function 3fTA gitir
125 When to Use Rugplot Function W8cI gitir
126 Queries Regarding Importing Dataset from Github aHM6 gitir
127 Queries on Different Plot Functions iSZ9 gitir
128 What Kernel Density Estimate KDE Plot Represents OQSu gitir
129 Bar plot Count plot Box plot Violin plot and Strip plot Explained ZXvg gitir
130 Creating Swarm plot Cat plot Joint plot and Pair plot eqFj gitir
131 Queries Regarding Pair Plot CQHH gitir
132 What You Have Learnt So Far Seaborn 74vQ gitir
133 Queries Regarding Seaborn Library pHcb gitir
134 Quick Overview on Drawing Line Plot gbbH gitir
135 Recap on Different Types of Plotting Function eK6b gitir
136 What You Will Learn Ahwq gitir
137 What is Feature Engineering Explained WxCc gitir
138 Why is Feature Engineering Important 3rZE gitir
139 Examples of Feature Engineering XtGa gitir
140 Steps of Feature Engineering and Example of Missing Data Z5iE gitir
141 Effective Strategies to Handling Missing Data 0VWQ gitir
142 Handling Imbalanced Data hrqZ gitir
143 How to Handle Outliers LJOD gitir
144 Boxplot for Detecting Outliers UEye gitir
145 Checking Data Distribution Using Skewness k9Bv gitir
146 Types of Skewness 7vxa gitir
147 Queries on Different Types of Skewness SvDT gitir
148 Queries Regarding Skewness bp84 gitir
149 Some Multiple Choice Questions on Skewness fhK4 gitir
150 Accessing Feature Engineering Work File efVm gitir
151 Importing Python Libraries and Using Pandas Read CSV Function LvE7 gitir
152 Why DataFrame Shape and Column Properties are Used yRVb gitir
153 Getting Summary of Null Values in Each Column GkPS gitir
154 Dropping Columns With Missing Values FFSG gitir
155 Query on How to Handle Missing Values Using Mean av4M gitir
156 Queries Regarding DataFrame fillna Method GWq5 gitir
157 Queries Regarding Missing Data 50QQ gitir
158 Queries Regarding Replacing Zero Values Xx04 gitir
159 Miscellaneous Queries on Handling Missing Values v4aV gitir
160 What You Have Learnt So Far bDpZ gitir
161 Basics of Feature Engineering Recap cnn7 gitir
162 What is Feature Scaling YI1P gitir
163 Methods of Feature Scaling 1BOp gitir
164 Importing StandardScaler md0G gitir
165 Selecting DataFrame Column 2YYL gitir
166 Rescaling Min Max Normalization PJrS gitir
167 Standardization or Z Score Normalization psE1 gitir
168 Using Robust Scaling Method WlYv gitir
169 Fixing FileNotFoundError in Python Le3P gitir
170 Why Data Encoding is Used and Types of Data Encoding pUSU gitir
171 Label Encoding in Python Explained lkv6 gitir
172 What is One Hot Encoding 2dvZ gitir
173 Differences Between Ordinal Encoding and Label Encoding kW6s gitir
174 Defining Universe of Possible Input Values JJDo gitir
175 Mapping Characters to Integers K0ww gitir
176 Integer Encoding Input Data hgby gitir
177 One Hot Encoding Using Categorical Data PU90 gitir
178 Queries Regarding Data Encoding 8eKf gitir
179 Queries Regarding Normalizing the Data G1pU gitir
180 Recap on Feature Engineering and Feature Scaling Basics eqcM gitir
181 Recap on Data Encoding Lw1P gitir
182 Queries Regarding Label Encoding rGGr gitir
183 Queries Regarding One Hot Encoding bPHj gitir
184 What is Feature Selection Explained With its Goal and Advantages 5sp5 gitir
185 Feature Selection Methods n8G8 gitir
186 Heatmap for Feature Selection and Its Parameters bJdh gitir
187 Some Multiple Choice Questions on Feature Selection tiCX gitir
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Master Data Science with Python From Basics to Advanced
Course modified date:
23 Dec 2024
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