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See why over 25,000+ Students choose ACTE
Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Data Science Training Projects
Become a Data Science Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Exploratory Data Analysis on a Public Dataset
Use a public dataset, such as from Kaggle, to perform basic data cleaning and exploratory data analysis (EDA). Visualize data trends, distributions.
Movie Recommendation System
Build a simple recommendation system using collaborative filtering techniques on a movie dataset. Use user ratings to predict and recommend movies to users.
Sentiment Analysis of Tweets
Perform sentiment analysis on tweets using natural language processing (NLP) techniques. Classify tweets as positive, negative, or neutral using libraries like NLTK and TextBlob.
Sales Forecasting
Develop a time series model to forecast sales for a retail store. Use historical sales data and techniques like ARIMA or LSTM networks for predictions.
Credit Card Fraud Detection
Build a classification model to detect fraudulent credit card transactions. Use techniques like logistic regression, decision trees, or random forests to identify anomalies in transaction data.
Churn Prediction
Predict customer churn for a telecom company using classification algorithms. Analyze customer behavior and demographics to identify factors leading to churn.
Reinforcement Learning for Game Playing
Implement a reinforcement learning agent to play and master a game, such as Tic-Tac-Toe, Chess, or Go. Use frameworks like OpenAI Gym.
Deep Learning for Image Generation with GANs
Create a Generative Adversarial Network (GAN) to generate realistic images from noise. Train the GAN on a dataset of images.
Speech Recognition System
Develop a speech recognition model to convert spoken language into text. Use deep learning techniques, recurrent neural networks (RNNs).
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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26-May-2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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28-May-2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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31-May-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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01-Jun-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Data Science Training Overview
Career Opportunities with a Data Science Training in Hyderabad
Enrolling in a Data Science Training Institute in Hyderabad equips learners with comprehensive, industry-relevant skills essential for thriving in today’s data-driven world. The program is designed to help participants master the ability to collect, process, analyze, and interpret large volumes of complex data to uncover patterns, trends, and actionable insights. Through in-depth modules on statistics, machine learning, programming languages like Python and R, data cleaning, and data visualization tools such as Tableau or Power BI, learners gain both theoretical understanding and practical expertise. This Data Science Placement Training in Hyderabad is especially valuable across various sectors including healthcare, where data science is used for predictive diagnostics and patient management; finance, for fraud detection and investment analysis; retail, to optimize customer experience and supply chains; and technology, where big data and AI innovation are at the forefront.
Emerging Trends in Data Science Program Course in Hyderabad
- AI-Powered Data Analytics: The integration of artificial intelligence (AI) in data science has led to automated insights and predictive analytics, making decision-making more efficient.
- Edge Computing and IoT Data Processing: With the rise of IoT devices, organizations are focusing on edge computing to process data closer to the source, reducing latency and improving real-time analytics.
- Explainable AI (XAI): Explainable AI helps businesses interpret complex machine learning models, making AI-driven decisions more transparent and trustworthy.
- Data Privacy and Ethical AI: As data security becomes a major concern, companies are implementing responsible AI practices to ensure ethical data handling and compliance with regulations.
Breakthrough Technologies in Data Science Certification in Hyderabad
- AutoML (Automated Machine Learning): AutoML simplifies the machine learning model development process, making it easier for non-experts to implement AI-driven solutions.
- Quantum Computing in Data Science: Quantum computing has the potential to solve complex optimization problems and significantly enhance data processing capabilities.
- Augmented Analytics: This approach leverages AI and ML to automate data preparation, insight discovery, and decision-making, improving business intelligence.
Core Principles of Data Science Program in Hyderabad
The Data Science Course with Placement in Hyderabad is thoughtfully structured to provide learners with a deep and well-rounded understanding of the core principles that underpin modern data analytics and decision-making. This program is tailored not only to introduce the theoretical foundations but also to deliver extensive hands-on experience through real-time projects, case studies, and tools used in the industry. At the heart of the curriculum are crucial concepts like big data processing, which teaches students how to handle and manage large datasets using distributed computing frameworks like Apache Hadoop and Apache Spark. The course also includes a comprehensive introduction to machine learning algorithms—including supervised and unsupervised learning models—that are essential for creating predictive and automated systems. In addition, statistical modeling plays a vital role in helping students understand trends, patterns, and relationships within data.
Recent Real-Time Projects for Data Science Training in Hyderabad
- Customer Sentiment Analysis – Businesses use NLP (Natural Language Processing) to analyze customer feedback and enhance product offerings. The practical application of Data Science is evident in recent real-world projects across industries.
- Fraud Detection in Banking – Machine learning models help identify fraudulent transactions in real-time, reducing financial risks.
- Healthcare Predictive Analytics – AI models are used to predict patient diseases and recommend personalized treatments.
- Retail Demand Forecasting – Companies leverage data science to optimize inventory management and supply chain logistics.
- Autonomous Vehicles – Machine learning and computer vision enable self-driving cars to detect obstacles and navigate efficiently.
Career Opportunities After Data Science Training
Data Scientist
Data scientists conduct in-depth analyses of large, complicated data sets to find patterns that inform strategic choices. To understand patterns, create prediction models.
Data Analyst
To assist firms in making wise decisions, data analysts concentrate on reading, analyzing, and interpreting data. They find patterns, produce reports.
Machine Learning Engineer
Machine learning engineers Project and Role create and use models and algorithms that let computers learn from experience and get better over time.
Data Engineer
The infrastructure necessary for data collecting, storage, and analysis is created and maintained by data engineers.
Business Intelligence Analyst
Business Intelligence (BI) Analysts leverage data to provide insights that inform business strategies and decisions.
Quantitative Analyst
Quantitative Analysts, or “Quants,” apply mathematical and statistical models to financial data to inform investment strategies.
Skill to Master
Programming Languages
Statistical Analysis
Data Wrangling
Data Visualization
Machine Learning
Big Data Tools
Data Mining
Database Management
Cloud Computing
Business Acumen
Communication Skills
Ethics and Data Privacy
Tools to Master
Python
R
Jupyter Notebook
Pandas
NumPy
Scikit-learn
TensorFlow
Tableau
Apache Hadoop
Apache Spark
SQL
Power BI
Learn from certified professionals who are currently working.
Training by
Abhishek, having 7+ yrs of experience
Specialized in: Data Science, AI, Machine Learning, Python
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We are proud to have participated in more than 40,000 career transfers globally.
Data ScienceCertification
While holding a Data Science certification can significantly improve your job prospects, it does not guarantee employment. Employers also consider factors such as practical experience, soft skills, and cultural fit.
Yes, you can pursue multiple Data Science course certifications. This can be advantageous as it allows you to diversify your skill set and demonstrate expertise in various areas of data science. Multiple certifications can make you more versatile and attractive to potential employers.
Yes, many Data Science certification exams are available online. Online exams provide flexibility and convenience, allowing you to take the test from your own home or office. Ensure you have a reliable internet connection and meet the technical requirements specified by the certifying body.
Real-world experience is not always a mandatory requirement for acquiring a Data Science certification, but it can be highly beneficial. Practical experience helps in understanding and applying theoretical concepts, making it easier to tackle real-world problems presented in the exam. Some advanced certifications may recommend or require relevant experience.
Frequently Asked Questions
- Basic computer knowledge would be sufficient, Prior knowledge in OOPs would be beneficiary. Our training is designed to suit beginner to advanced level, So the candidates needn't have much Pre-requisite.
- Those who enroll for Data Science training at ACTE will be provided with offline and online materials that can be accessed from anywhere around the globe. On the Successful completion of the course everyone is provided with an internationally recognized certificate and We send our candidates for interviews until placed.
- At ACTE, we offer the Classroom training and online instructor-led training. Apart from that, we also provide corporate training for enterprises. We believe in practical learning. Our training mode is majorly practical and has proven to benefit our candidates.
- We provide our candidates with real time projects that are utilized by many Multi National organizations at the present. These projects will provide the candidate practical knowledge about the course.
- The duration of the Data Science Training at ACTE Hyderabad typically ranges from 2 to 6 months, depending on the selected learning mode—weekday, weekend, or fast-track. The program covers key concepts like Python/R, machine learning, statistics, data visualization, and real-time projects, making it suitable for both freshers and working professionals.