Data Analytics at Learntube Overview
Duration | 36 hours |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
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- Curriculum
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Data Analytics at Learntube Highlights
- Earn a certificate after completion of course
Data Analytics at Learntube Course details
Data Analytics is a powerful tool for making informed decisions in today's data-driven world
Understanding data analytics is crucial for businesses to stay competitive and innovative
In this course, you will learn data visualization, statistical analysis, data cleaning, and the use of tools like Excel, SQL, and Python
You'll gain hands-on experience with real-world datasets and projects
By the end of this course, you'll be able to analyze complex data, derive insights, and drive strategic decisions confidently
Data Analytics at Learntube Curriculum
Introduction to Data Analytics
Why You Should Learn Data Analytics
Is Data Analysis a Good Career Choice
Essential Data Analytics Trends to Watch
Five Key Skills to Become an Exceptional Data Analyst
The Critical Role of a Data Analyst
The Importance of Data in Business Strategy
Basics of Data Analytics
Different Types of Data Analytics
The Data Analytics Lifecycle Explained
Understanding Qualitative and Quantitative Data Types
Exploring Various Data Sources
The Importance of Data Quality
An Introduction to Data Warehousing
Fundamentals of Data Mining
Data Collection and Data Wrangling
An Overview of Data Collection Methods
Survey Data Collection Techniques
Observation Data Collection Methods
Focus Group Data Collection Strategies
Interview Data Collection Techniques
An Introduction to Web Scraping
Using APIs for Data Collection
An Overview of Data Wrangling
Key Data Transformation Techniques
Normalization and Standardization Methods
Effective Data Parsing Techniques
Exploratory Data Analysis (EDA)
What is Exploratory Data Analysis
Understanding Descriptive Statistics
Univariate, Bivariate, and Multivariate Analysis Explained
The Basics of Dimensionality Reduction
Identifying Trends and Patterns in Data
Conducting Outlier Analysis
Exploratory Data Analysis with Python and R: Part 1
Exploratory Data Analysis with Python and R: Part 2
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