FAQ About 360DigiTMG

360DigiTMG 360DigiTMG
2 months ago | ajaykumar

Who is eligible for Data Science?

Education unlocks the door to data science, but the key isn't always a diploma. While formal degrees in statistics, mathematics, computer science, or even social sciences provide a solid foundation (and, let's face it, most data scientists - over 80%! - rock master's degrees, with a whopping 40% boasting PhDs), they're not the only ticket to the ride.

So, if you hold a bachelor's or master's in any of these fields, high five! You're prepped to dive into the data science ocean. The knowledge you've gained will be your anchor, making it easier to pick up new skills like a pro. But fear not, aspiring data scientists without a traditional background! The path is open to you too. It might require more effort, starting from the fundamentals, but remember, the journey itself can be incredibly rewarding.

So, whether you're armed with a degree or fueled by pure passion, remember: data science welcomes curious minds, regardless of their academic pedigree. Dive in, explore, and unleash your inner data wizard!

360DigiTMG 360DigiTMG
2 months ago | asked by Aradya

What is the average fee for a data analytics course?

At 360DigiTMG, our Data Analytics Course fees may vary based on several factors including course duration, mode of delivery (online or in-person), and any additional features or certifications included in the program. For the most accurate and up-to-date information regarding our course fees, we recommend reaching out to our admissions team directly or visiting our website where you can find detailed information about course pricing and payment options. We strive to offer competitive pricing and ensure that our training programs provide excellent value for aspiring data analysts.

360DigiTMG 360DigiTMG
2 months ago | asked by vimala

weekend classes on data science

Upcoming Weekend Batches


DS / DA

17th March Weekends 9am - 1:15pm Chennai

30th march Weekdays 9am - 1:15pm Bangalore

AI Classes on Weekend

1st March Weekends 9am - 1:15pm Online

360DigiTMG 360DigiTMG
2 months ago | asked by Vinod

What is the eligibility for data scientist course in 360DigiTMG?

At 360DigiTMG, our Data Scientist course is designed to accommodate learners from diverse backgrounds. While there is no strict eligibility criteria, a basic understanding of mathematics, statistics, and programming concepts would be beneficial. Whether you're a recent graduate, working professional, or career changer, our course is structured to cater to individuals at various skill levels. We welcome anyone with a passion for data science and a desire to learn. Feel free to reach out to our admissions team for personalized guidance on how our course can suit your specific needs and goals

360DigiTMG 360DigiTMG
2 months ago | asked by bhavana17081994

What the are modules in data science?

At 360DigiTMG, our Data Science course is comprehensive and covers a wide range of modules to provide students with a thorough understanding of this field. Some of the key modules included in our Data Science course typically cover topics such as: 1. Python Introduction 2. SQL 3. Data Science - Preliminaries 3a. CRISP-ML(Q) - Business & Data Understanding 3b. Data Preprocessing 3c. Exploratory Data Analytics (EDA) 3d. Feature Engineering 4. PowerBI 5. Data Mining - Unsupervised Learning 5a. Mathematical Foundations 5b. Clustering / Segmentation 5c. Dimension Reduction 5d. Association Rules 5e. Recommender Systems 5f. Network Analytics 5g. Text Mining and Natural Language Processing (NLP) 6. Data Mining - Supervised Learning 6a. Machine Learning 6b. Machine Learning Classifier Technique - Naive Bayes 6c. Machine Learning - KNN Classifier 6d. Confidence Interval 6e. Hypothesis Testing - The β€˜4’ Must Know Hypothesis Tests 6f. Supervised Learning – Regression Techniques 6g. Multiple Linear Regression - Predictive Modelling 6h. Logistic Regression Binary Value Prediction, MLE 6i. Lasso and Ridge Regressions 6j. Multinomial and Ordinal Logistic Regression 6k. Advanced Regression for Count Data 6l. Kernel Method - SVM 6m. Survival Analytics 6n. Decision Tree 6o. Ensemble Techniques 7. Forecasting/Time Series 7a. Model-Driven Algorithms 7b. Data-Driven Algorithms 7c. Deep Learning for Time Series New! 8. Black Box method (ANN, CNN, RNN) 8a. Introduction to Perceptron and Multilayer Perceptron 8b. Building Blocks of Neural Network - ANN 8c. Deep Learning Primer 9. Generative AI & Transformers New! 10. Prompt Engineering New!

360DigiTMG 360DigiTMG
2 months ago | asked by sarucssowmya

What is the time period of data science course?

At 360DigiTMG, the time period of our Data Science course can vary depending on several factors including the mode of delivery (full-time, part-time, or self-paced), the depth of the curriculum, and the learner's prior experience and pace of learning. Our comprehensive Data Science course typically ranges from a few weeks to several months, with options available for intensive bootcamps, extended part-time courses, or self-paced online learning. We understand that flexibility is important for our students, so we offer various scheduling options to accommodate different lifestyles and commitments. For specific details on the duration of our Data Science course and the scheduling options available, we recommend reaching out to our admissions team or visiting our website where you can find more information about course timelines and formats.

360DigiTMG 360DigiTMG
2 months ago | asked by Anuradha.Adapa

Can I pursue a data science in Hyderabad after my graduation?

Yes, absolutely! Pursuing a Data Science course in Hyderabad after graduation is a great choice for individuals looking to kickstart their career in this rapidly growing field. At 360DigiTMG, we offer comprehensive Data Science courses designed to accommodate students from diverse educational backgrounds. Whether you have a degree in engineering, mathematics, computer science, or any other related field, our Data Science courses are structured to provide you with the necessary skills and knowledge to excel in this field. Our experienced instructors and industry-relevant curriculum ensure that you receive quality education and practical training that prepares you for real-world challenges in Data Science. We encourage you to explore our course offerings and reach out to our admissions team for personalized guidance on how to pursue a Data Science course in Hyderabad after graduation. We're here to support you in your journey towards a successful career in Data Science!
360DigiTMG 360DigiTMG
2 months ago | asked by divya

Is data science good for non IT students?

Yes, absolutely! Data Science is an excellent field for non-IT students as well. In fact, Data Science encompasses a wide range of disciplines including mathematics, statistics, business, and domain-specific knowledge, making it suitable for individuals from diverse educational backgrounds. Whether you're a student with a background in commerce, social sciences, or any other non-IT field, you can still pursue a career in Data Science. Many successful Data Scientists come from non-IT backgrounds and bring unique perspectives and skills to the field. At 360DigiTMG, we offer Data Science courses specifically designed to cater to students from various educational backgrounds. Our comprehensive curriculum covers fundamental concepts in Data Science, programming, statistics, and machine learning, ensuring that students from non-IT backgrounds acquire the necessary skills to succeed in this field. We encourage you to explore our course offerings and reach out to our admissions team for personalized guidance on how Data Science can be a rewarding career path for non-IT students. We're here to support you in your journey towards a successful career in Data Science!
^

Already a member? Login.

Place this code where you want the questions and answer appear on your website.

<div class="faq-container"></div><script channelShortName="360digitmg" id="faq-question-list-script" src="https://static.faqabout.me/widgets/question-list-widget.min.js"></script>
Click to copy