Best Data Science in Thane

Enroll in a Data Science Course in Thane at WraysTech Academy to fast-track your career in just four months. This comprehensive program offers hands-on training in cutting-edge tools and technologies like Tableau, Python, R, deep learning, and machine learning. Gain practical insights into the latest industry trends and enhance your analytical skills to solve real-world problems. With expert guidance and a structured curriculum, this course equips you with the knowledge and expertise needed to excel in the data-driven world. Whether you're a beginner or a professional, this Data Science Course in Thane is your gateway to a successful career in data science.

What is Data Science

Data Science is a simpling of methods from mathematics, statistics, and machine learning to better understand the datasets, and extract patterns and explanation of the data. Data Science: The Art of Gathering & classifying & summarizing data sets, followed by starting meaningful insights from these data sets. Further decisions are made based on these insights. Now a days data science is playing a central role in creating business value.

Who is a Data Scientist?

A Data Scientist must be a person who interested in numbers and figures. Most Data Scientists are researchers who must prepare massive amounts of big data for analysis. With the help of a Data Scientist, the entire process of making business decisions becomes faster and more accurate. In order to create winning algorithms, Data Scientists require a solid foundation in Statistics, Mathematics, Linear Algebra, Computer Programming, Data Warehousing, Mining, and Modeling.

Get Your Offer Letter upon Course Enrollment

Launch Your Data Science Career with WraysTech’s 100% Job Guarantee Program! Are you looking for the best data science courses in Thane that not only equip you with industry-leading skills but also guarantee job placement? Look no further! WraysTech Academy offers a 100% job guarantee program, ensuring you receive your offer letter upon course enrollment.

Why to join at Wraystech?

Choosing Wraystech Academy means stepping into a future filled with career opportunities, industry-relevant skills, and guaranteed placement support. Our expert-led training programs are designed to bridge the gap between theoretical knowledge and practical application, ensuring that you gain hands-on experience in your chosen field.

At Wraystech, we offer industry-based practical training with live projects, allowing you to work on real-world scenarios. Our courses are designed and taught by experienced professionals with 10+ years in the industry, ensuring that you learn from the best. Whether you’re interested in Data Science, Digital Marketing, AI, or Software Development, our curriculum is constantly updated to match industry trends.

We stand out with our 100% Job Guarantee Program, providing personalized mentorship, resume building, and interview preparation. Our placement team partners with 200+ companies, offering dedicated job assistance until you get placed.

With flexible batch options (online & offline), affordable fees, globally recognized certifications, and expert mentorship, Wraystech ensures that every student is fully prepared for a successful career.

If you’re looking for practical, career-oriented training that leads to real job opportunities, Wraystech is the perfect choice. Join us today and take the first step toward a brighter future.

Online Training

Offline Training

Online Training

Wraystech Academy's online training offers flexible, interactive learning with live sessions, recorded lectures, and hands-on projects. Get expert mentorship, 24/7 support, and job placement assistance from anywhere. Master industry-relevant skills in Data Analytics, Data Science, Digital Marketing, and more, and earn an industry-recognized certification to boost your career.

Offline Training

Our offline training provides an immersive classroom experience with personalized mentorship, real-world projects, and hands-on learning. Gain practical knowledge through live demonstrations, discussions, and case studies under expert faculty. With mock interviews, resume building, and placement support, Wraystech Academy ensures a 100% job guarantee, helping you secure your dream job.

Course Modules

Module 1: Python Introduction

Covers the fundamentals of Python programming, essential for data manipulation and analysis.

Module 2: SQL

Focuses on Structured Query Language, used for managing and querying relational databases.

Module 3: Data Science Preliminaries

Introduces core data science concepts and the data analysis process.

Module 3-a: CRISP-ML(Q)

Business & Data Understanding: Explores the CRISP-DM framework adapted for machine learning, emphasizing business problem definition and data assessment.

Module 3-b: Data Preprocessing

Covers techniques for cleaning, transforming, and preparing data for analysis (e.g., handling missing values, data normalization).

Module 3-c: Exploratory Data Analysis (EDA)

Focuses on visualizing and summarizing data to uncover patterns, relationships, and insights.

Module 3-d: Feature Engineering

Teaches how to create new features from existing data to improve model performance.

Module 4: Power BI

Introduces Power BI, a business intelligence tool for data visualization and reporting.

Module 5: Data Mining - Unsupervised Learning

Explores techniques for discovering patterns in unlabeled data.

Module 5-a: Mathematical Foundations

Covers the mathematical concepts underpinning unsupervised learning methods.

Module 5-b: Clustering / Segmentation

Focuses on grouping similar data points together (e.g., K-Means, hierarchical clustering).

Module 5-c: Dimensionality Reduction

Techniques for reducing the number of variables while preserving important information (e.g., PCA).

Module 5-d: Association Rules

Discovering relationships between items in large datasets (e.g., market basket analysis).

Module 5-e: Recommender Systems

Building systems that suggest items to users based on their preferences.

Module 5-f: Network Analytics

Analyzing relationships and interactions within networks (e.g., social networks).

Module 5-g: Text Mining and Natural Language Processing (NLP)

Extracting information and insights from text data.

Module 6: Data Mining - Supervised Learning

Focuses on building models that learn from labeled data to make predictions.

Module 6-a: Machine Learning

A general introduction to supervised learning algorithms and concepts.

Module 6-b: Machine Learning Classifier Technique - Naïve Bayes

A probabilistic classifier based on Bayes’ theorem.

Module 6-c: Machine Learning - KNN Classifier

A non-parametric classifier that classifies data points based on their nearest neighbors.

Module 6-d: Confidence Intervals

Estimating the range within which a population parameter is likely to fall.

Module 6-e: Hypothesis Testing

The four must-know hypothesis tests: Learning about common statistical tests used to validate hypotheses.

Module 6-f: Supervised Learning - Regression Techniques

Predicting continuous values (e.g., linear regression).

Module 6-g: Multiple Linear Regression

Predictive Modeling: Building regression models with multiple predictor variables.

Module 6-h: Logistic Regression - Binary Value Prediction & MLE

Predicting binary outcomes using logistic regression and maximum likelihood estimation.

Module 6-i: Lasso and Ridge Regression

Regularization techniques to prevent overfitting in regression models.

Module 6-j: Multinomial and Ordinal Logistic Regression

Extending logistic regression for multi-class and ordinal outcomes.

Module 6-k: Advanced Regression for Count Data

Handling data that represents counts (e.g., Poisson regression).

Module 6-l: Kernel Method - SVM

Support Vector Machines, a powerful classification algorithm.

Module 6-m: Survival Analysis

Analyzing time-to-event data (e.g., time until failure).

Module 6-n: Decision Trees

A tree-based classification and regression method.

Module 6-o: Ensemble Techniques

Combining multiple models to improve prediction accuracy (e.g., Random Forest, Boosting).

Module 7: Forecasting / Time Series Analysis

Analyzing data collected over time to predict future values.

Module 7-a: Model-Driven Algorithms

Traditional time series forecasting methods (e.g., ARIMA).

Module 7-b: Data-Driven Algorithms

Machine learning approaches to time series forecasting.

Module 7-c: Deep Learning for Time Series

Applying deep learning models to time series data.

Module 8: Black Box Methods (ANN, CNN, RNN)

Introduction to neural networks.

Module 8-a: Introduction to Perceptron and Multilayer Perceptron

Basic building blocks of neural networks.

Module 8-b: Building Blocks of Neural Networks – ANN

Artificial Neural Networks (ANN), their architecture, and training.

Module 8-c: Deep Learning Primer

Introduction to deep learning concepts and architectures.

Module 9: Generative AI & Transformers

Explores generative models and transformer networks, which are revolutionizing NLP and other fields.

Module 10: Prompt Engineering

Focuses on crafting effective prompts for large language models to generate desired outputs.

Key Features of the Course

Eligibility Criteria

Varies by course level and complexity; most IT companies prefer a minimum bachelor's degree for job selection.

Corporate Training

Experienced trainers (10+ years) provide industry-based, practical training on real-world projects.

Technical Support

Dedicated experts assist students with technical issues, tools, software installation, and troubleshooting.

Certification

Industry-recognized certificates upon course completion, with guidance for additional professional certifications.

Interview Calls

Tie-ups with 200+ companies; dedicated placement team ensures continuous job interview opportunities.

Job Placement

98% placement record; training and outsourcing support to secure jobs for students.

100% Job Guarantee Program

Course Enrollment

Begin your journey by enrolling in the program, gaining access to a structured curriculum designed to equip you with in-demand skills for a successful career.

Training

Engage in comprehensive training sessions led by experts, covering practical skills, industry knowledge, and hands-on experience to prepare you for real-world job challenges.

Q&A Session

Participate in interactive Q&A sessions to clarify doubts, deepen understanding, and receive personalized guidance from instructors or mentors throughout the program.

Interview Preparation

Master the art of interviewing with tailored coaching, mock interviews, and feedback to boost confidence and ensure you shine during job placement opportunities.

Successfully Placed

Achieve the program’s promise as you secure a job, with the support team ensuring you’re matched with employers seeking your newly acquired skills.

Collect Offer Letter

Celebrate your success by receiving your official job offer letter, marking the start of your professional career with a guaranteed position in hand.

Hiring Companies

Certification

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FAQS

Which is the best Data Science Institute in Thane?

At Wraystech academy we take pride in being recognized as the leading Data Science Institute in Thane. Our program, centred around Python programming, is curated by 10+ year experienced industry experts. With a focus on hands-on learning and practical projects, we ensure participants gain an Integrated skill set, setting the stage for success in the dynamic field of data science.

Can I pursue data science in Thane after my graduation?

Absolutely! At Thane, post-graduation marks the gateway to our esteemed Data Science program. Our curriculum integrates live project exposure through internships and industry-specific course content. This comprehensive approach ensures individuals gain theoretical insights and practical skills, fostering success in the field of data science.

How much does a data scientist earn in Thane?

In Thane,data scientists earn an average annual salary of Rs. 7LPA, while Senior Data Scientists command a higher income at Rs. 12 LPA, as reported by a reliable (Source). These figures highlight the attractive earning potential and career advancement opportunities within the dynamic field of data science.

How long does this data scientist course last including projects?

In this blended program, you will be attending 200 hours of classroom sessions over four months. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments that you must complete online is 150 hours. Besides this, you will be working on live projects for a month.