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Data Analytics

Category : Specialization Last Update : 27 Jul 2024
Description

Are you ready to kick-start on a journey into the world of Data Analytics? Whether you're a business professional looking to enhance your analytical skills, or someone curious about the power of data, our comprehensive curriculum has got you covered. With a focus on practical skills and real-world applications, our course will equip you with the tools and knowledge needed to thrive in today's data-driven world.

Key Highlights

Immersive Data Analytics Course Training Classroom Experience

Hands-on Training By Industry Experts

Industry Case Studies and Assignments


No Cost EMI Options Available

Real-World Projects and Case Studies

1:1 Career Mentorship Sessions 

120+ Hours of Learning & Practical Exercises

Immersive Plus Online Blended Learning

Practical Hands-on Projects

(1:1) Job Interview Preparation 

360 Degree Career Support

The Course Curriculum
  • Python: Dive into one of the most versatile programming languages for data science. Learn Python fundamentals and explore its applications in data manipulation, analysis, and visualization using libraries like Pandas, NumPy, and Matplotlib.
  • Excel: Master the art of data manipulation and analysis using Excel, a powerful tool for organizing and visualizing data. Explore advanced Excel functions, pivot tables, and data modeling techniques to extract insights from complex datasets.
  • SQL: Unlock the power of databases with SQL (Structured Query Language). Learn how to query, manipulate, and manage data stored in relational databases efficiently. Gain hands-on experience with SQL syntax, database design, and optimization techniques.
  • Power BI: Transform raw data into interactive and insightful visualizations with Power BI. Discover how to create dynamic dashboards, reports, and data models to communicate your findings effectively to stakeholders.
  • Statistics (Stats): Build a solid foundation in statistics essential for data analysis. Explore descriptive and inferential statistics, hypothesis testing, probability distributions, and regression analysis to make informed decisions based on data.
  • Covers all courses required to be a Data Analyst
  • Project-based learning
  • Working on live projects
  • Test after every Session
  • Interview Preparation 

Tech Stack Covered
Python
Statistics
SQL
Excel
Power BI

Codecruise offers Certificate of Participation and Completion Certificate with QR Code





Certificate of Participation





Certificate of Completion
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ENROLLMENT PROCESS

Steps to start learning?

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1. Application Submission

Applicants submit an online form with
key profile details for the desired course..

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2. Application Review and Discovery Call

Our academic team meticulously reviews applications. Qualified candidates then receive a guidance call from a seasoned counselor, who assists in choosing the ideal learning path tailored to their career aspirations.

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3. Confirmation and Enrollment


Accepted applicants receive admission offers. Upon acceptance, they finalize enrollment by submitting required documents, fees, and attending an orientation session to commence their education journey.

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