One question new students have before beginning their study of Data Analytics is, “How fast can I learn this?” Knowing how long it will take to complete your Data Analytics Training will allow you to set up your study schedule and career aspirations accordingly. For newcomers to this area of education, Data Analytics does not require years of education to be learned. If you have adequate preparation and follow an integrated curriculum, you can learn enough theory and practice to build a solid foundation in Data Analytics within a structured system in 3 months.
Can You Learn Data Analytics in 3 Months?
If you follow an appropriate method of study for Data Analytics, you can learn the fundamentals in three months; there is nothing wrong with that!
The duration of a Data Analytics course varies based on the organization that offers it, and the course design; however, it is crucial to establish a structured course with an established syllabus and evaluate the students’ use of their current training time effectively.
At Webipher, our Data Analytics Training Course has been established to provide students with the necessary tools for getting an Entry-Level position with the opportunity for growth into Senior positions with the assurance that the participants will have gained the skills required by the marketplace to be successful. Students who have completed our course will leave with the ability to perform competently within the Entry-level market.
How the Learning Develops
Phase 1: Foundations of Learning
The first phase prepares students with a solid understanding of the primary ideas and functions of data analytics. By learning about collecting, cleaning, and preparing data for analytics, students gain insight into how to work with data and what it means for business.
The primary areas of focus are:
- Core Concepts of Data Analytics
- Excel for Working with and Analyzing Data
- Data Sets and Business Problems
The goal of this initial phase is to provide students with a base that allows them to go on to use advanced tools and conduct analyses.
Phase 2: Covers handling data and data visualization
Students become familiar with how to query and manage data using SQL and practice using real-world business datasets as they explore the basics.
As they learn about data visualization through the use of either Power BI or Tableau, the student must also begin to develop analytical thinking, along with their skills in data visualization and management.
Phase 3: Focuses on applying the above skills in real-world applications
In this final phase, students build end-to-end data analytics project(s), create dashboards, build and maintain their resumes and portfolios, and utilize placement support to prepare for interviews.
This phase also ensures that all students have developed an understanding of how to use their skills in a manner that conforms with existing industry standards.
Who Is This Course Duration Suitable For?
A 3-month focused duration in Data Analytics is for:
- Students attending College
- New Graduates
- Working Professionals Changing Careers
- Non-Techies Who Have Basic Computer Knowledge
There is no advanced programming experience necessary to start a Data Analytics Program.
How to Make the Most of the Course Duration
The majority of the students who take advantage of the Data Analytics Duration Program:
- Consistently Practice
- Work With Real Data
- Ask Questions and Address Their Questions
- Understand Concepts, Not Just Memorize Steps
Being a Skill Base-Centric Area, Consistent Work During This Program Can Make The Difference.
Why Webipher’s Learning Approach Works
Webipher’s Teaching Methodology (Curriculum) Is Structured To Help Students Learn Efficiently Within A Limited Timeframe.
Some Key Components Of The Webipher Methodology Include:
- Easy-To-Follow Curriculum
- Use of Current Industry Tools and Projects
- Practical Work Experience
- Placement Assistance For New Graduates
- Certifications and Assistance from Industry Experts
This Teaching Methodology Provides Students With Confidence And Job-Ready Skills By The End Of The Program.
Conclusion
Finding out how long students should expect their data analytics program to last can help them stay on track with their studies. Providing the student with a structured curriculum, frequent opportunities for self-directed study and access to experienced data analysts will provide them with foundational skills and experience within three months and will assist them in preparing for entry-level positions.
