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1. What is Data analytics and why it is famous in market?

2. Why all MNC , small companies and govt organization using Data analytics. what are its various applications we are using in our daily life?

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3. What are skills required to learn Data analytics?

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Introduction

To enter a new domain like Data Analytics, it is crucial to master the length and breadth of fundamental to advanced tools and languages. In today's digital age, vast amounts of data are produced at an unprecedented rate. Data analytics has emerged as a crucial discipline that leverages advanced techniques and tools to unlock the potential hidden within this sea of information.

With this online program, you will gain business domain knowledge, data transformation, storytelling, an understanding of algorithms for solving complex business problems, Optimization techniques, data science project execution strategy and data visualization.

With Edifypath's industry-relevant Curriculum, you can start a rewarding Data Analytics career in only 16 weeks. Edifypath introduces students to an integrated Blended Learning approach, making them experts in data analytics. This Data Analytics certification program will help students become industry-ready for top data analyst job roles.

Explain data and strengthen your analytical skills through this program, delivered via live sessions by leading practitioners, hands-on labs, industry-relevant projects, and masterclasses from Edifypath.

Why is Advanced Analytics important?

Data Analytics is a highly sought-after skill that helps organizations uncover valuable insights from data. Data analytics transforms raw data into actionable insights, enabling organizations to make informed decisions, solve complex problems, and drive positive outcomes. It is an essential discipline for anyone seeking to harness the power of data and navigate the ever-expanding digital landscape.

There is an increasing demand for professionals in various roles, such as data analysts and scientists, AI and machine learning specialists, robotics engineers, software and application developers, and digital transformation specialists. However, data analytics is not solely about extracting insights from data. It also entails ethical considerations and the responsible use of data.

What does a Data Analyst do?

Data Analysts play a unique role among the many data-centric jobs in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyzer also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.

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Program Objectives

The course covers the principles, techniques, and data analytics tools.

Students will develop problem-solving, critical thinking skills and communicate data-driven insights to stakeholders.

Data ethics and data use will be understood. Moreover, they will cultivate a mindset of lifelong learning and adaptability in data analytics.

Students become experts in statistical and machine learning methods for predictive modeling and decision-making.

Program Highlights

Industry-Relevant Tools

Placement Assistance

Internships

World Class Comprehensive Curriculum

Real-life projects providing hands-on industry training

Case Studies and Use Cases

Learning In-demand skills

Data Visualization Techniques

Mock Interviews

Team Projects and Collaboration

Benefit by learning in person with expert mentors

Personalized subjective feedback on your submissions to facilitate improvement

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Program Curriculum

MODULE-1

Python for Data Science

MODULE-2

R for Data Science

MODULE-3

Data Science Library and Data Visualization Using Python

MODULE-4

Maths Behind Data Science

MODULE-5

Exploratory Data Analysis /Data Cleaning Techniques/ Data Preparation Techniques

MODULE-6

Big Data Engineering: SQL/Hadoop/Spark

MODULE-7

Tableau

MODULE-8

Advance Excel

MODULE-9

Overview of Machine Learning

View Syllabus

Eligibility

Engineering graduates from any stream Graduation in 2021, 2022 & 2023 with 55% marks

Duration & Mode

4 Months and Live - Interactive Sessions

Why join this program?

Learn what needs to be learned with our personalized program. Gain practical skills, gain industry insights, and connect with a community of like-minded professionals. Join us to take your career to the next level.