Best Data Science training in Kerala Faith Infosys

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The Data Analyst course is designed for beginners and professionals who want to gain a solid understanding of data analysis and its real-world applications. The course begins with an introduction to data analysis concepts, the data analysis process, and the key stages of a typical data analytics project — from data collection and cleaning to exploration, visualization, and interpretation. Learners will also get an overview of essential Python libraries used in data analysis, such as NumPy, Pandas, Matplotlib, and Seaborn.

The course then covers the core programming, statistical, and analytical skills required for effective data analysis, including data preprocessing, exploratory data analysis (EDA), feature engineering, and data visualization techniques. Students will learn how to work with structured and unstructured datasets, summarize data, identify patterns and trends, and use basic analytical and predictive techniques such as correlation analysis, regression, and clustering. Practical exercises will help learners clean, analyze, and visualize data to generate actionable insights.

Finally, the course introduces advanced topics such as dashboard creation, reporting automation, SQL for data analysis, and an introduction to business intelligence (BI) tools. By the end of the course, participants will have a strong foundation in data analysis principles, be able to perform end-to-end analysis using Python, and effectively communicate insights to support data-driven decision-making.

Main Topics / Course Modules:

Introduction to Data Analysis and Its Applications
The Data Analysis Process and Workflow
Python for Data Analysis (Libraries: NumPy, Pandas, Matplotlib, Seaborn)
Data Collection, Cleaning, and Preparation
Exploratory Data Analysis (EDA) and Descriptive Statistics
Data Visualization and Dashboarding Techniques
Working with Databases and SQL for Data Analysis
Feature Engineering and Data Transformation
Introduction to Predictive Analytics and Basic Machine Learning Concepts
Reporting, Insights Communication, and Data-Driven Decision Making

Do You Want Data Science Full Stack Development?

Machine Learning Course at Faith Infosys is designed to make you proficient in building intelligent systems, with hands-on experience in data preprocessing, model building, and evaluation using Python and popular ML libraries