Advanced Certificate in Data Analytics

by Openlabs

An Advanced Program in Data Analytics provides the breadth and depth of experiences to enable you to succeed in a data-driven business world. Combining big data analytics, statistical learning and data visualization with real business case studies.

Course Enrollment

Program Highlights

  • Course Module : Certificate Programs
  • Fee : $750
  • Duration : 6 Months
  • Format : Online
  • Affiliated To :


Data Analytics certification programs are ideal for both entry-level and experienced professionals. Ideal for individuals who want to improve processes & systems in their workplace through data analysis or who want to take up promising career paths by becoming an expert in analytics.

Techniques can pursue in this course, which does not require prior programming knowledge and is not based on memorization of formulas or facts. The focus is to develop a practice-based knowledge of data analytics relevant across disciplines.

It covers job-critical topics like data analysis, Power BI, data visualization, and regression techniques through supervised in-depth learning with live sessions by leading practitioners and industry experts.

Program Summary

  • Python for data Analytics
  • Probability and Statistics
  • Data Cleaning and Preprocessing using Python
  • SQL and DataBases
  • PowerBi
  • Intro to Machine Learning

Career Opportunities

  • Data analysts
  • Business Intelligence professionals
  • Professionals who use Power BI
  • Professionals who manage data for decision-making
  • Data Scientists

Course Content

Hands-on core python and python libraries for data

  • Learning python structure and how to write programs in it
  • Basic concepts of Python, its syntax, functions, and conditional statements
  • Acquire the prerequisite Python skills to move into specific branches – Machine Learning, and Data Science
  • Understand packages to enable them to write scripts for data manipulation and analysis

Mathematics and Statistics for Data Treatment

  • Linear algebra
  • Probability
  • Statistics
  • Data Cleaning
  • Data Pre-processing
  • Statistical tools
    • CSV
    • Excel
  • Introduce statistical tools for working with datasets
  • Learn the essentials of probability and statistics for data analysis & visualization
  • Know how to import and clean data using libraries like NumPy and Pandas&

Eligibility Requirements

  • Best suited for those passionate about starting a career in Data Analysis. Special interest in math, statistics, or computer science will certainly stand learners in good stead. But none of these is a prerequisite.