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UPES Online | Post Graduate Certificate in Data Analytics (Self-Paced)

Comprehensive curriculum covering everything from predictive analytics, data analysis to data visualization.

Course Snapshot

  • FeeINR 42,000/- + GST
  • Work Experience0 - 30 Years
  • Duration6 months
  • Delivery MethodSelf Study

Course Detail

Program Overview:

In a world where every business decision is driven by data, the demand for skilled data analysts is higher than ever, spanning functions from sales and marketing to logistics and strategy. The PG Certificate in Data Analytics by UPES Online is crafted to help both fresh graduates and working professionals, regardless of their background, seamlessly transition into this high-growth field. This 6-month program is ideal for professionals looking to transition into a career in Data Science. It focuses on predictive modeling, Tableau, and machine learning techniques using SQL and Python. The program is designed to accelerate your career by helping you become a well-rounded and industry-ready Data Science professional.

About UPES Online:

  • 1 Private University in Academic Reputation in India-
  • 46th Rank in India in the University category, NIRF 2024
  • NAAC 'A' Accredited.

Program Highlights:

  • 180 Hrs of learning via live online classes or videos, assignments & projects
  • 100% Placement assistance
  • Hands-on training with 70% practical content
  • 7 industry projects from different domains
  • Weekend classes by industry experts

Program Outcomes:

  • 45% Average Salary Hike.
  • Placement Opportunities at, Accenture, TATA, AON, Microsoft, PWC, Deloitte, etc.
  • 12,000 career transitions.

Desired Candidate Profile

  • Completed graduation or in final year of any graduation discipline. No coding background required.

Course Modules

Module 1: Data Analytics in Python

  • Introduction to data analytics
  • Python Training
  • Setting the base of data analytics
  • Understanding the data with univariate statistics in pandas
  • Hypothesis testing and ANOVA to guide decision making
  • Predictive modelling in Python using statsmodels and sklearn
  • Capstone Projects

Module 2: Data Analysis in SQL

  • Introduction to SQL
  • SQL Data Types & Operators
  • Useful Operations in SQL
  • Aggregating Data in SQL
  • Writing Sub-Queries in SQL
  • Common function in SQL
  • Analytic Functions in SQL
  • Writing DML Statements
  • Writing DDL Statements
  • Using Constraints in SQL
  • SQL Joins
  • Views in SQL

Module 3: Data Visualization in Tableau

  • Introduction to Business Intelligence & Visualization
  • Introduction to Tableau
  • Dive into Tableau
  • Connecting Data Sources
  • Tableau Generated Fields
  • Data Manipulation in Tableau
  • Working with Dates in Tableau
  • Data Customization with Calculations
  • Adding Dynamism to a View with Parameters
  • Geographical Analysis & Maps
  • Creating Visualizations
  • Adding Statistics to Data
  • Formatting & Annotation
  • Dashboards & Stories