Data Analytics Certification Training at CodeBita Technology
Course Description
This comprehensive Data Analytics Certification Training equips students with the essential skills and knowledge required to thrive in the dynamic field of data analytics. Through a blend of theoretical concepts and practical applications, participants will gain a deep understanding of data analysis techniques, tools, and methodologies.
What You'll Learn From This Course
- Fundamentals of Data Analytics: Understand the principles and concepts underlying data analytics.
- Data Collection and Preparation: Learn how to gather, clean, and preprocess data for analysis.
- Statistical Analysis: Master statistical techniques for extracting insights and making data-driven decisions.
- Data Visualization: Acquire skills to create compelling visual representations of data for effective communication.
- Machine Learning: Explore machine learning algorithms and their applications in data analytics.
- Big Data Analytics: Learn to work with large datasets using advanced analytics tools and techniques.
- Real-World Applications: Apply data analytics concepts to solve business challenges and drive strategic decision-making.
Certification
Upon successful completion of the course, participants will receive a Data Analytics Certification, validating their proficiency in data analysis techniques and readiness to excel in data-driven roles. This certification serves as a testament to your expertise and enhances your career prospects in the rapidly evolving field of data analytics.
-
Overview of data analysis
-
Importance of data in decision making
-
Basics of data types and data sources
-
Descriptive Analysis
-
Inferential Analysis
-
Predictive Analysis
-
Exploratory Data Analysis
-
Causal Analysis
-
Data wrangling techniques
-
Data cleaning methods (handling missing values, outliers)
-
Data transformation (reshaping, merging, pivoting)
-
Programming Basics & Environment Setup
-
Strings, Decisions & Loop Control
-
Python Data Types
-
Functions And Modules
-
File I/O An d Exceptional Handling and Regular Expression
-
Data Analysis Using Numpy
-
Data Analysis Using Pandas
-
Data Visualization using Matplotlib
-
Data Visualization using Seaborn
-
Introduction to SQL
-
Basic SQL Operations
-
Data Manipulation with SQL
-
Advanced SQL Concepts
-
Data Definition Language (DDL)
-
Data Control Language (DCL)
-
Data Querying Techniques
-
Optimizing SQL Performance
-
Real-world Applications and Case Studies
-
Hands-on SQL Exercises
-
Introduction to Power BI
-
Getting Started with Power BI
-
Data Transformation and Modeling
-
Data Visualization with Power BI
-
Advanced Analytics with Power BI
-
Data Insights and Storytelling
-
Integration with Other Tools and Services
-
Real-world Applications and Case Studies
-
Hands-on Power BI Projects and Exercises
-
Sales Analytics Case Study
-
Customer Segmentation Project
-
Market Basket Analysis Case Study
-
Fraud Detection Case Study
-
Healthcare Analytics Project
-
Social Media Analytics Case Study
-
Environmental Data Analysis Project
