Data Analytics

Data analytics is of immense importance in today's data-driven world. Firstly, it enables businesses to make informed decisions based on data-driven insights, leading to increased efficiency and productivity.
Secondly, data analytics helps identify trends, patterns, and opportunities in large datasets, contributing to better strategic planning and forecasting.
Thirdly, it plays a pivotal role in understanding customer behavior and preferences, enabling personalized and targeted marketing efforts.
Fourthly, data analytics enhances risk management by identifying potential threats and vulnerabilities within an organization.

Lastly, data analytics empowers organizations to stay competitive, innovate, and adapt to changing market dynamics, driving overall growth and success. Overall, data analytics is a critical tool that unlocks valuable information, drives evidence-based decision-making, and accelerates business success in the digital age. The Data Analytics course at THETA ACADEMY is designed according to industrial need and will provide valuable skills to the students.Refer to following links for more information.

Key Highlights

   Learn skills and knowledge necessary to transform data into valuable insights for informed decision-making in various industries.

   Statistics and Quantitative Methods are practically employed through this course.

   Projects of course already employed in RND Departments .

   Placement assistance in medium to big level firms .

   Our Learning Management System offers AI-assisted problem-solving and simulates technical interviews.

   We offers a flexible schedule, enabling students to adapt their study hours.

   Free subscriptions of Advance Analytics tools like Power BI will be provided.

   Our Learning Management System offers AI-assisted problem-solving and simulates technical interviews.

Free Career Counselling

We are happy to help you 24/7

Tools We Covered

Why To Choose Theta Academy?

Who Is This Program For?

This Program is for those guys who are currently pursuing graduation in any field or had completed it.

Job Opportunities post AI & Machine Learning Course

Job opportunities for students after completing this course include roles as data analysts, business analysts, financial planner, market research analysts, e-commerce specialists leveraging their financial and business acumen to analyze and interpret data for informed decision-making in various industries.

Top Subjects You will learn

Python,Machine Learning,Deep Learning,Tableau,Power BI,Web Scraping,R PRogramming,Advance Excel

What are the minimum requirements for course?

This course needs the students to be Graduated from any field or currently pursuing it.

Explore our Learning Platform

Learn on an AI-powered & personalised platform with best-in-class content, live sessions & mentoring from leading industry experts..

Explore Now
ds

Our Industrial Projects

Financial Comparision Portal

A Platform provides best insurance policy suggestion for customer
Personal financial Control System with AI based tracking of Cutomer Behaviour.
Tech Used:Live Statistical Analysis using multiple math frameworks in python.

Oyo Auto Offer Recommendation

Predict Cancellation rate of Oyo Room booking
Automatically adjust the offers given according to cancellation probability.
Tech Used: Mixture of Hybrid Models and Advance Transfer Learning

CryptoCurrency Trade Platform

Buy And Sell Popular Digital Currencies, Keep Track Of Them In The One Place.
AI based prediction of trade market using Time Series analysis.
Our Experts use blend of ML with Rest-Django-Framework in this project.

Curriculum Designed by Experts

Like the curriculum? Get started

FAQ'S

  • What's Difference in Data analytics and Business Analytics ?

    • Data Analytics has a broader focus and is concerned with the collection, cleaning, transformation, and analysis of large datasets from various sources. The main objective of data analytics is to extract meaningful information from raw data, regardless of the application domain.
    • Data Analytics on business domain is known as Business Analytics which includes using data and statistical methods to drive business decision-making and solve specific business problems

  • Yes, you can learn programming easily. Start with a beginner-friendly language like Python, use online class, and practice regularly to build your skills. Stay persistent and patient with yourself as you progress.
    At THETA ACADEMY all courses are designed for those who just step into technology(Begineer level)

  • Yes,THETA ACADEMY can provide Internship certificate.In our courses we provide industrial level training and capstone projects are done.A Student who enroll in the course can recieve internship certificate at the end of course. The only rule is he/she have to submit his/her proof of College.

  • In this course, while some basic mathematical concepts are essential, you don't need to be a math expert to get started. Data science in Mechanical Engineering involves using statistical methods, algebra, and calculus for analysis and modeling. Don't worry if you find math challenging; the focus will be on practical applications and understanding how to work with data effectively. We will cover mathematical topics in such a way that a non mathematic lover can also join it.As you progress, you'll gain a deeper understanding of the necessary mathematical principles and their role in data analysis

  • Course content is designed to align with international standards and practices, ensuring that the knowledge and skills gained will be applicable and valued in foreign universities. If you are pursuing a Mechanical course at Foreign, It is mandatory in their syllabus to learn Python or R.So Learning this before going will assist you.

Our Student Reviews

All About Data Analytics

Analyzing data to identify trends and make judgments about the information they contain is known as Data Analytics. Here data may be in the form of Excel file, Html file, Sql Database etc.There are Predictive,Prescriptive,Diagnostic and Descriptive Analytics.Its totally based on the business problem to perform what type of analytics should be done.