Data Science & Analytics Course

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About Course

Data Science is one of the most in-demand and high-paying fields in today’s digital economy. From companies like Google, Netflix, Amazon, Zomato, and Uber every modern business relies on data to make smarter decisions and improve performance.

There is a massive need for skilled data analysts and data scientists who can collect, analyze, and visualize data to drive real business results. By learning Data Science online with Amunis Technologies’ Advanced Data Science & Analytics Certification Course, you can become a job-ready professional in this high-growth field.

This course is designed for anyone who wants to start a career in data analytics or upskill in AI and Machine Learning. You’ll get hands-on live training from industry experts who will teach you how to work with real datasets, analyze business trends, and make data-driven decisions using modern tools and technologies.

Throughout this course, you’ll learn Python programming, data visualization, statistics, machine learning models, and business analytics. You’ll also work on real-time projects and case studies that prepare you for real-world challenges. By the end, you’ll be able to confidently handle data analysis tasks, generate insights, and present them effectively using dashboards and reports.

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What Will You Learn?

  • In this complete Data Science & Analytics course, you’ll learn how to collect, clean, analyze, and visualize data using professional tools like Python, Power BI, and Excel. You’ll master data-driven decision-making and understand how to translate complex datasets into actionable business insights.
  • By the end of this course, you’ll be skilled in working with databases, building dashboards, and applying machine learning algorithms to solve real-world problems. You’ll gain the confidence to work as a Data Analyst, Business Analyst, or Data Scientist and help organizations make smarter, data-backed decisions.

Course Content

Introduction to Data Science

  • What is Data Science?
  • Importance of Data in Business
  • Roles of Data Analyst vs. Data Scientist
  • Understanding the Data Science Lifecycle
  • Tools & Technologies Overview

Python for Data Science

Data Cleaning & Preparation

Exploratory Data Analysis (EDA)

Statistics & Probability

Data Visualization & Reporting

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