At iVidyaa, Get onboarded for a transformative journey with our meticulously curated Data Analytics course designed to align with the latest industry requirements. Designed to align with the latest industry practices and trends, this course offers hands-on project experience in our state-of-the-art facilities and well-equipped & modern labs and insights from industry experts. By mastering data analytics, one can help businesses improve marketing strategies, enhance customer experiences, streamline operations, and gain valuable insights.

 Course Duration: (300+ Hours)

Classroom HoursSelf-Study HoursTotal Hours
52252304

Fees: 45000

Discounted Fees: 30000

Tech Stack:

 

Curriculum:

The Data Analytics for All courses (including MBA, BBA, B.Pharma, non-mathematical disciplines, and engineering) is a comprehensive program designed to equip students of diverse academic backgrounds, with essential data analytics skills. This course integrates practical tools and techniques, covering everything from basic to advanced data analysis. Students will gain proficiency in Tableau and Power BI for data visualization, Excel for data manipulation, SQL for database management, Python and MongoDB for programming and handling unstructured data, and fundamental statistics for analytical rigor. By merging these tools and concepts, the course prepares students to analyze and interpret data effectively, providing hands-on experience to solve real-world problems and make data-driven decisions. This course is essential for those aiming to enhance their analytical capabilities, offering the tools and knowledge needed to thrive in data-centric roles across various industries.

                                                                                     Data Analytics Course

Introduction to Data Visualization
Advance Excel with VBA
Power BI
Tableau

Basic Python Programming with OOPs
Basic R Programming

Introduction to Analytics & Basic Statistics
Python Library for Analytics
My SQL
Mongo DB

Benefits of this Course

●  High Demand for Data Analysts: Companies across various sectors are increasingly relying on data-driven decision-making, creating a high demand for skilled data analysts. The strong demand ensures better job security and stability in your career.

●  Competitive Salary: Data analysts often receive competitive salaries. The specialized skills involved in data analysis are highly valued. With experience and expertise, there is significant potential for salary growth.

●  Diverse Career Opportunities: Data analysts are needed in finance, healthcare, marketing, e-commerce, technology, and more, providing a wide range of career options. Positions available include business analyst, data scientist, data engineer, and more.

●  Skill Enhancement: Learn valuable technical skills such as data visualization, statistical analysis, and proficiency in tools like SQL, Python, R, and Excel. Develop strong analytical skills to interpret and derive insights from complex data sets.

●  Better Decision-Making: Equip yourself with the ability to make informed decisions based on data, leading to improved business strategies and outcomes. Contribute to and foster a data-driven culture within your organization.

●  Career Advancement: Advanced data analysis skills can fast-track your career, leading to higher positions such as

data manager, analytics lead, or chief data officer. Stand out in your field as a certified data analytics professional.

●  Networking Opportunities: Interact with peers, instructors, and industry professionals during the course, expanding

your professional network. Gain insights into industry trends and best practices through networking and collaborative

projects.

●  Certification and Credibility: Earning a certification upon course completion validates your skills and enhances your

resume.

●  Hands-On Experience: Work on real-world projects and case studies, providing practical experience and a portfolio

to showcase your skills. Apply the knowledge gained directly to your current job or future roles, making an immediate

impact.

●  Remote Work Opportunities: Data analysis skills are highly suitable for remote work, offering flexibility in terms of

work location and hours. The ability to work remotely opens up job opportunities worldwide, not just in your local area.

FAQs

Language English
Hours 304 Hrs

OUR INDUSTRY CONNECTS