Data Analytics
Unlock the power of data! This course offers a practical introduction to Data Analytics, equipping learners with the skills to collect, analyze, and interpret data for smarter decision-making. Through real-world examples and hands-on exercises, you'll explore key concepts such as data visualization, statistical analysis, and data-driven insights.
FREE
Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Data Analytics
9 Exercises • 32 Learning Materials
Module 1
Pandas DataFrame and Series
Data type and Conversions
Module 2
Indexing and Data Selection
Pandas DataFrame Query
Assignment D1 and D2
D1
D2
Module 3
Numpy
Data Exploration and Summary
Handling Missing Values
Module 4
Duplicates and Outliers
String Manipulation
Type Conversion and Dates
Assignment D3, D4 and D5
D3
D4
D5
Module 5
Grouping DataFrames
Merging and Concatenating Data
Pivot and Aggregation
Module 6
Random Sampling Datapoints
Seaborn Graphs
Matplotlib
D1
D2
D3
D4
D5
D6
D7
D8
Module Assignment 2
Assignment D6, D7 And D8
D6
D7
D8
Module Assessment 2
Module Assessment 2
Data Analytics - Examples
Pandas DataFrame and Series
Data type and Conversions
Indexing and Data Selection
Pandas DataFrame Query
Numpy
Data Exploration and Summary
Handling Missing Values
Duplicates and Outliers
String Manipulation
Type Conversion and Dates
Grouping DataFrames
Merging and Concatenating Data
Pivot and Aggregation
Random Sampling Datapoints
Seaborn Graphs
Matplotlib
Course Instructor
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CodeGrads Tech LLP
5 Courses • 6 Students
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