230+ Exercises - Python for Data Science - NumPy + Pandas

Double pack! Improve your Python programming and data science skills and solve over 230 exercises in NumPy and Pandas!

4.55 (16 reviews)

Udemy

platform

English

language

Data Science

category

Paweł Krakowiak

instructor

9,285

students

1 hour

content

Jul 2022

last update

$19.99

regular price

What you will learn

solve over 230 exercises in NumPy and Pandas

deal with real programming problems in data science

work with documentation and Stack Overflow

guaranteed instructor support

Description

Welcome to the 230+ Exercises - Python for Data Science - NumPy + Pandas course where you can test your Python programming skills in data science, specifically in NumPy and Pandas.

Some numpy topics you will find in the exercises:

working with numpy arrays
generating numpy arrays
generating numpy arrays with random values
iterating through arrays
dealing with missing values
working with matrices
reading/writing files
joining arrays
reshaping arrays
computing basic array statistics
sorting arrays
filtering arrays
image as an array
linear algebra
matrix multiplication
determinant of the matrix
eigenvalues and eignevectors
inverse matrix
shuffling arrays
working with polynomials
working with dates
working with strings in array
solving systems of equations

Some pandas topics you will find in the exercises:

working with Series
working with DatetimeIndex
working with DataFrames
reading/writing files
working with different data types in DataFrames
working with indexes
working with missing values
filtering data
sorting data
grouping data
mapping columns
computing correlation
concatenating DataFrames
calculating cumulative statistics
working with duplicate values
preparing data to machine learning models
dummy encoding
working with csv and json filles
merging DataFrames
pivot tables

The course is designed for people who have basic knowledge in Python, NumPy and Pandas. It consists of 230 exercises with solutions.

This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.

If you're wondering if it's worth taking a step towards Python, don't hesitate any longer and take the challenge today.

Screenshots

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Content

Tips

A few words from the author

Requirements

Configuration

----- NUMPY -----

Intro

Starter

Exercise 0

Solution 0

Exercises 1-10

Exercise 1

Solution 1

Exercise 2

Solution 2

Exercise 3

Solution 3

Exercise 4

Solution 4

Exercise 5

Solution 5

Exercise 6

Solution 6

Exercise 7

Solution 7

Exercise 8

Solution 8

Exercise 9

Solution 9

Exercise 10

Solution 10

Exercises 11-20

Exercise 11

Solution 11

Exercise 12

Solution 12

Exercise 13

Solution 13

Exercise 14

Solution 14

Exercise 15

Solution 15

Exercise 16

Solution 16

Exercise 17

Solution 17

Exercise 18

Solution 18

Exercise 19

Solution 19

Exercise 20

Solution 20

Exercises 21-30

Exercise 21

Solution 21

Exercise 22

Solution 22

Exercise 23

Solution 23

Exercise 24

Solution 24

Exercise 25

Solution 25

Exercise 26

Solution 26

Exercise 27

Solution 27

Exercise 28

Solution 28

Exercise 29

Solution 29

Exercise 30

Solution 30

Exercises 31-40

Exercise 31

Solution 31

Exercise 32

Solution 32

Exercise 33

Solution 33

Exercise 34

Solution 34

Exercise 35

Solution 35

Exercise 36

Solution 36

Exercise 37

Solution 37

Exercise 38

Solution 38

Exercise 39

Solution 39

Exercise 40

Solution 40

Exercises 41-50

Exercise 41

Solution 41

Exercise 42

Solution 42

Exercise 43

Solution 43

Exercise 44

Solution 44

Exercise 45

Solution 45

Exercise 46

Solution 46

Exercise 47

Solution 47

Exercise 48

Solution 48

Exercise 49

Solution 49

Exercise 50

Solution 50

Exercises 51-60

Exercise 51

Solution 51

Exercise 52

Solution 52

Exercise 53

Solution 53

Exercise 54

Solution 54

Exercise 55

Solution 55

Exercise 56

Solution 56

Exercise 57

Solution 57

Exercise 58

Solution 58

Exercise 59

Solution 59

Exercise 60

Solution 60

Exercises 61-70

Exercise 61

Solution 61

Exercise 62

Solution 62

Exercise 63

Solution 63

Exercise 64

Solution 64

Exercise 65

Solution 65

Exercise 66

Solution 66

Exercise 67

Solution 67

Exercise 68

Solution 68

Exercise 69

Solution 69

Exercise 70

Solution 70

Exercises 71-80

Exercise 71

Solution 71

Exercise 72

Solution 72

Exercise 73

Solution 73

Exercise 74

Solution 74

Exercise 75

Solution 75

Exercise 76

Solution 76

Exercise 77

Solution 77

Exercise 78

Solution 78

Exercise 79

Solution 79

Exercise 80

Solution 80

Exercises 81-90

Exercise 81

Solution 81

Exercise 82

Solution 82

Exercise 83

Solution 83

Exercise 84

Solution 84

Exercise 85

Solution 85

Exercise 86

Solution 86

Exercise 87

Solution 87

Exercise 88

Solution 88

Exercise 89

Solution 89

Exercise 90

Solution 90

Exercises 91-100

Exercise 91

Solution 91

Exercise 92

Solution 92

Exercise 93

Solution 93

Exercise 94

Solution 94

Exercise 95

Solution 95

Exercise 96

Solution 96

Exercise 97

Solution 97

Exercise 98

Solution 98

Exercise 99

Solution 99

Exercise 100

Solution 100

----- PANDAS -----

Intro

Exercises 101-110

Exercise 101

Solution 101

Exercise 102

Solution 102

Exercise 103

Solution 103

Exercise 104

Solution 104

Exercise 105

Solution 105

Exercise 106

Solution 106

Exercise 107

Solution 107

Exercise 108

Solution 108

Exercise 109

Solution 109

Exercise 110

Solution 110

Exercises 111-120

Exercise 111

Solution 111

Exercise 112

Solution 112

Exercise 113

Solution 113

Exercise 114

Solution 114

Exercise 115

Solution 115

Exercise 116

Solution 116

Exercise 117

Solution 117

Exercise 118

Solution 118

Exercise 119

Solution 119

Exercise 120

Solution 120

Exercises 121-130

Exercise 121

Solution 121

Exercise 122

Solution 122

Exercise 123

Solution 123

Exercise 124

Solution 124

Exercise 125

Solution 125

Exercise 126

Solution 126

Exercise 127

Solution 127

Exercise 128

Solution 128

Exercise 129

Solution 129

Exercise 130

Solution 130

Exercises 131-140

Exercise 131

Solution 131

Exercise 132

Solution 132

Exercise 133

Solution 133

Exercise 134

Solution 134

Exercise 135

Solution 135

Exercise 136

Solution 136

Exercise 137

Solution 137

Exercise 138

Solution 138

Exercise 139

Solution 139

Exercise 140

Solution 140

Exercises 141-150

Exercise 141

Solution 141

Exercise 142

Solution 142

Exercise 143

Solution 143

Exercise 144

Solution 144

Exercise 145

Solution 145

Exercise 146

Solution 146

Exercise 147

Solution 147

Exercise 148

Solution 148

Exercise 149

Solution 149

Exercise 150

Solution 150

Exercises 151-160

Exercise 151

Solution 151

Exercise 152

Solution 152

Exercise 153

Solution 153

Exercise 154

Solution 154

Exercise 155

Solution 155

Exercise 156

Solution 156

Exercise 157

Solution 157

Exercise 158

Solution 158

Exercise 159

Solution 159

Exercise 160

Solution 160

Exercises 161-170

Exercise 161

Solution 161

Exercise 162

Solution 162

Exercise 163

Solution 163

Exercise 164

Solution 164

Exercise 165

Solution 165

Exercise 166

Solution 166

Exercise 167

Solution 167

Exercise 168

Solution 168

Exercise 169

Solution 169

Exercise 170

Solution 170

Exercises 171-180

Exercise 171

Solution 171

Exercise 172

Solution 172

Exercise 173

Solution 173

Exercise 174

Solution 174

Exercise 175

Solution 175

Exercise 176

Solution 176

Exercise 177

Solution 177

Exercise 178

Solution 178

Exercise 179

Solution 179

Exercise 180

Solution 180

Exercises 181-190

Exercise 181

Solution 181

Exercise 182

Solution 182

Exercise 183

Solution 183

Exercise 184

Solution 184

Exercise 185

Solution 185

Exercise 186

Solution 186

Exercise 187

Solution 187

Exercise 188

Solution 188

Exercise 189

Solution 189

Exercise 190

Solution 190

Exercises 191-200

Exercise 191

Solution 191

Exercise 192

Solution 192

Exercise 193

Solution 193

Exercise 194

Solution 194

Exercise 195

Solution 195

Exercise 196

Solution 196

Exercise 197

Solution 197

Exercise 198

Solution 198

Exercise 199

Solution 199

Exercise 200

Solution 200

Exercises 201-210

Exercise 201

Solution 201

Exercise 202

Solution 202

Exercise 203

Solution 203

Exercise 204

Solution 204

Exercise 205

Solution 205

Exercise 206

Solution 206

Exercise 207

Solution 207

Exercise 208

Solution 208

Exercise 209

Solution 209

Exercise 210

Solution 210

Exercises 211-220

Exercise 211

Solution 211

Exercise 212

Solution 212

Exercise 213

Solution 213

Exercise 214

Solution 214

Exercise 215

Solution 215

Exercise 216

Solution 216

Exercise 217

Solution 217

Exercise 218

Solution 218

Exercise 219

Solution 219

Exercise 220

Solution 220

Exercises 221-230

Exercise 221

Solution 221

Exercise 222

Solution 222

Exercise 223

Solution 223

Exercise 224

Solution 224

Exercise 225

Solution 225

Exercise 226

Solution 226

Exercise 227

Solution 227

Exercise 228

Solution 228

Exercise 229

Solution 229

Exercise 230

Solution 230

Exercises 230+

Exercise 231

Solution 231

Exercise 232

Solution 232

Exercise 233

Solution 233

Exercise 234

Solution 234

Configuration (optional)

Info

Google Colab + Google Drive

Google Colab + GitHub

Google Colab - Intro

Anaconda installation - Windows 10

Introduction to Spyder

Anaconda installation - Linux

Spyder

Bonus

Bonus

Charts

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Related Topics

4656122

udemy ID

4/23/2022

course created date

4/27/2022

course indexed date

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course submited by