Data Analyst Certification Course in Bangalore

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No Previous math, statistics, or computer science knowledge required

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Program Highlights

Top Notch Faculty

Skill Expresso's trainers are highly experienced professionals with over a decade of industry expertise empowering learners through training.

Real-life Projects and Bootcamps

Learners will engage with real-world data analytics scenarios across diverse domains, gaining valuable hands-on application knowledge.

Exhaustive Course Curriculum

Our course curriculum is designed to blend industry relevance with practical application alongside theoretical knowledge.

Job Readiness

Learners will gain practical application knowledge by working on real-world data analytics scenarios spanning multiple domains.

Who Should Do The Data Analyst Course?

Phase 1 - Data Collection and Preparation

This phase involves gathering raw data from various sources, cleaning it, and organizing it into a structured format suitable for analysis.

Phase 2 - Data Analysis and Modeling

Analysts explore the data, identify patterns, and use statistical and analytical models to extract actionable insights.

Phase 3 - Reporting and Visualization

Key findings are presented to stakeholders through dashboards, charts, and reports, enabling data-driven decision-making.

Data Analyst Project Life Cycle

Skills Covered

Projects

Analysis of Patient Data (Domain: Healthcare)

This project tasks learners with analyzing patient data related to various diseases, encompassing multiple summaries. It requires an in-depth analysis of facilities, chain organizations, and dialysis stations where patients undergo dialysis treatments. Additionally, the project emphasizes examining payment modes to identify any discounts or payment reductions.

Loan of Customers (Domain: Banking and Finance)

In this project, learners will analyze loans provided by a financial institution to customers across various grades and sub-grade levels. The analysis will focus on loan disbursement purposes, funded amounts, and revolving balance values for each customer based on their state and geographic location. Additionally, the project involves examining customers’ payment modes and their most recent payment values.

Employee Retention (Domain: HR analytics)

This HR-focused project analyzes employee attrition rates across various organizational levels. The analysis examines key factors such as monthly income, year of last promotion, job roles, work-life balance, and departmental differences to gain insights into employee turnover trends.

Tools and Technologies

Learning Path

Why Skill Expresso?

Industry-Aligned Curriculum:

Post-Training support along with 2 coaching sessions

Work Hands-on With 50+ Labs, 30+ Assignments, and 5 Mock Interviews

Value Add – Application of Project Management & Change Management concept

Value Adds: Python Programming, Fundamentals of R, Business Statistics, SAS and ChatGPT

Learn the Art of Story Telling with Data.