FAQ About 360DigiTMG
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!
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.
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
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
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 β4β Must Know Hypothesis Tests 6f. Supervised Learning β 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!
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.