Data Analytics- Professional Course

Cronus Consultants’ 6-month, 100-hour Data Analytics program is designed to help learners develop practical skills in data preparation, SQL, statistics, Python, visualization, and business intelligence. The course combines technical learning with hands-on practice so that students can understand not only how to work with data, but also how to communicate insights effectively.

6 Months
Online / offline

Why Learn Data Analytics with Cronus Consultants?

Learning data analytics requires more than knowing individual tools. At Cronus Consultants, learners are introduced to this complete process through a structured curriculum. The program covers commonly used analytics technologies such as Excel, SQL, Python, Power BI, and Tableau, along with statistical concepts and practical data analysis exercises.

Curriculum Overview

Download Syllabus

Learn the data analytics lifecycle and use Excel for sorting, filtering, organizing, and preparing datasets.
Identify missing values and outliers, then apply appropriate techniques to improve data quality.

Learn SQL commands such as SELECT, FROM, and WHERE to retrieve and filter relevant data.
Work with joins, subqueries, aggregations, and relational databases such as MySQL or PostgreSQL.

Understand probability, descriptive and inferential statistics, hypothesis testing, and correlation for data-based analysis.
Learn Python fundamentals and use Pandas and NumPy to manipulate, process, and analyze datasets.

Create interactive dashboards using tools such as Tableau or Power BI to present analytical findings.
Learn to select suitable charts and communicate trends, patterns, and insights effectively.

Apply your analytics knowledge to practical datasets, such as sales or marketing data, and develop meaningful insights.
Strengthen your professional profile through resume development, project presentation, and mock interview sessions.

Apply data analytics concepts through practical project development, analysis, and presentation.
Gain practical exposure to deployment processes and cloud-based storage while preparing your project for demonstration.

Key Features

Data Cleaning

Prepare reliable datasets for analysis

SQL & Databases

Query and manage structured data

Python Analytics

Analyze data with Python libraries

BI & Visualization

Create dashboards and reports

Who can pursue this course?

BBA B.A. B.Sc(Computer Science) M.Sc (Computer Science) B.TECH M.TECH Commerce MBA

      
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