Data Science with AI Course & Certification
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Earn certification from EduCADD THINKWorks, India’s most trusted educational institution with over 25+ years of excellence, in collaboration with MindForge and the National Skill Development Corporation (NSDC). Pursue a high-paying career in Data Science & AI with MindForge Infotech’s new Data Science with AI Course and gain a competitive edge in the job market.
- HIGHLIGHT
- CURRICULUM
- CERTIFICATION
- JOB OPPORTUNITES
- ABOUT US
The Data Science with AI Course is designed to equip learners with in-demand skills in data analysis, machine learning, and artificial intelligence (AI). This comprehensive course covers the full data science lifecycle, from data collection and cleaning to advanced AI-driven insights and predictive modeling. Students will learn key programming languages like Python and R, along with tools such as TensorFlow, Keras, and Scikit-learn.
Core topics include data visualization, statistical analysis, machine learning algorithms, deep learning, and AI applications in various industries. Through hands-on projects, learners will gain practical experience in building machine learning models, implementing AI solutions, and working with large datasets to uncover valuable insights.
Whether you’re a beginner or a professional looking to upskill, this course prepares you for roles like Data Scientist, AI Engineer, and Machine Learning Specialist. By the end of the course, participants will be ready to tackle real-world challenges, using AI to drive business innovation and decision-making.
- PROFESSIONAL CERTIFICATION
- PG CERTIFICATION
Python
Backend Programming Language
Python: Introduction to Python, Python Interpreter, Basics of Python, Control Flow, Functions, Modules, Package, Numeric Types, String, List, Tuple, Dictionary, Set, Files, Exception Handling, Object-Oriented Programming OOPS concepts Defining, Multi-Threading, GUI Programming with Tkinter, Event Handling, Data Base Programming, Networking, Conversion of Python script to executable file, Live Projects
SQL
Structured Query Language
SQL: Introduction to Database, Retrieve Data using the SQL SELECT Statement, Learn to Restrict and Sort Data, Usage of Single-Row Functions to Customize Output, Invoke Conversion Functions and Conditional Expressions, Aggregate Data Using the Group Functions, Display Data From Multiple Tables Using Joins, Use Subqueries to Solve Queries, The SET Operators, Data Manipulation Statements, Use of DDL Statements to Create and Manage Tables, Other Schema Objects, Control User Access, Management of Schema Object, ORACLE_DATAPUMP, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Retrieve Data Using Sub-queries, Regular Expression Support
Artificial Intelligence
Intelligence Based Technology
Artificial Intelligence(AI): Introduction, Deep Learning, Artificial Neural Network, Recurrent Neural Network, Convolution Neural Network, Reinforcement Learning, Natural Language Processing, Image Processing & Computer vision
Machine Learning
Advance Learning Technology
Machine Learning: Introduction to Machine Learning, Introduction of Statistics, Packages of Machine Learning, Exploratoy Data Analysis, Data prepressing, Regression Techniques, K-Nearest neighbours, Support Vector Machine, Decision Tree, Random Forest, Naive Bayes, Clustering, Gradient Descent, Dimensionality Reduction Techniques, Time Series Analysis
Python
Backend Programming Language
Python: Introduction to Python, Python Interpreter, Basics of Python, Control Flow, Functions, Modules, Package, Numeric Types, String, List, Tuple, Dictionary, Set, Files, Exception Handling, Object-Oriented Programming OOPS concepts Defining, Multi-Threading, GUI Programming with Tkinter, Event Handling, Data Base Programming, Networking, Conversion of Python script to executable file, Live Projects
SQL
Structured Query Language
SQL: Introduction to Database, Retrieve Data using the SQL SELECT Statement, Learn to Restrict and Sort Data, Usage of Single-Row Functions to Customize Output, Invoke Conversion Functions and Conditional Expressions, Aggregate Data Using the Group Functions, Display Data From Multiple Tables Using Joins, Use Subqueries to Solve Queries, The SET Operators, Data Manipulation Statements, Use of DDL Statements to Create and Manage Tables, Other Schema Objects, Control User Access, Management of Schema Object, ORACLE_DATAPUMP, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Retrieve Data Using Sub-queries, Regular Expression Support
Artificial Intelligence
Intelligence Based Technology
Artificial Intelligence(AI): Introduction, Deep Learning, Artificial Neural Network, Recurrent Neural Network, Convolution Neural Network, Reinforcement Learning, Natural Language Processing, Image Processing & Computer vision
Machine Learning
Advance Learning Technology
Machine Learning: Introduction to Machine Learning, Introduction of Statistics, Packages of Machine Learning, Exploratoy Data Analysis, Data prepressing, Regression Techniques, K-Nearest neighbours, Support Vector Machine, Decision Tree, Random Forest, Naive Bayes, Clustering, Gradient Descent, Dimensionality Reduction Techniques, Time Series Analysis
AWS
Cloud Based Technology
AWS: Introduction to AWS, Amazon Simple Storage Service (Amazon S3) and Amazon Glacier Storage, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic Block, Amazon Virtual Private Cloud (Amazon VPC), Network Address Translation (NAT) Instances and NAT Gateways, Elastic Load Balancing, Amazon CloudWatch, and Auto Scaling, Databases and AWS, SQS, SWF, and SNS, Domain Name System (DNS) and Amazon Route 53, Amazon ElastiCache, Additional Key Services, Security on AWS
Industry Recognized Certification
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AWS
Career Opportunities After Data Science with AI Training
- Business analysts use data analysis to help businesses make informed decisions.
- They gather and analyze data to identify trends, patterns, and insights that can drive strategic planning and operational improvements.
- Business analysts often work closely with stakeholders from different departments to understand business requirements and provide data-driven solutions.
₹ 3L – ₹ 12LPer AnnumHiring Companies
- Role: AI engineers develop intelligent systems that can learn and make decisions autonomously using AI frameworks and tools like TensorFlow, PyTorch, etc.
- Responsibilities: Building and deploying AI models, optimizing algorithms, and integrating AI systems into business processes.
- Industries: Robotics, autonomous vehicles, healthcare, gaming, financial services.
₹ 3L – ₹ 12LPer AnnumHiring Companies
- Role: BI developers create data-driven dashboards and reports that help organizations monitor performance, trends, and business outcomes.
- Responsibilities: Developing BI systems, data visualization, using tools like Tableau, Power BI, and integrating AI insights.
- Industries: Finance, logistics, manufacturing, telecommunications.
₹ 3L – ₹ 12LPer AnnumHiring Companies
- Role: AI research scientists work on developing innovative AI models and contribute to the advancement of AI technologies through research.
- Responsibilities: Conducting research on new algorithms, publishing papers, prototyping cutting-edge AI solutions, and collaborating with academic institutions.
- Industries: Academia, research labs, tech giants like Google, Facebook, or Amazon.
₹ 3L – ₹ 12LPer AnnumHiring Companies
- Role: AI product managers bridge the gap between business and technology teams, managing AI-powered product development and aligning it with business goals.
- Responsibilities: Defining AI product strategy, overseeing the development of AI features, and ensuring successful product launches.
- Industries: Tech companies, startups, e-commerce, financial services.
₹ 3L – ₹ 12LPer AnnumHiring Companies
- Role: Big Data analysts work on extracting actionable insights from large, complex datasets, often using cloud computing and distributed computing systems.
- Responsibilities: Analyzing big data, working with Hadoop, Spark, and other big data technologies, and creating scalable solutions.
- Industries: Finance, telecom, energy, healthcare.
₹ 3L – ₹ 12LPer AnnumHiring Companies
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MindForge Infotech is a registered trademark owned by EduCADD, pioneers in skill based learning for over 2 decades as a software training institute. MindForge is an idea derived with a vision to make quality Tech skill-oriented education available and affordable to every job aspiring youth of the nation. MindForge vision is implemented by relentlessly staying up with latest technology trends across the education value chain covering Grooming, Assessment, Industry ready skills and Soft skills to match requirements of industry today.
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Why Choose MindForge Infotech
Industry-Expert Instructors
Learn from seasoned professionals with real-world experience in the IT industry.
Flexible Learning Options
Choose between online and in-person classes to suit your schedule and learning preferences.
Hands-On Training
Gain practical skills through hands-on projects and real-world case studies.
Certification Preparation
Prepare for industry-recognized certifications that enhance your employability and career prospects.
Job Placement Assistance
Benefit from dedicated career services, including job placement support and internship opportunities.
Lifetime Access to Materials
Enjoy lifetime access to course materials, ensuring you can revisit and refresh your knowledge anytime.
About Data Science& AI
📊 Data Science with AI Overview
Data Science with Artificial Intelligence (AI) combines the power of data analytics and AI-driven technologies to extract insights, automate processes, and make intelligent predictions. This field integrates data processing, machine learning, and AI algorithms to solve complex problems.
📐 Statistics & Probability
A solid foundation in statistics is vital in data science. You’ll learn to use statistical techniques to find correlations, make predictions, and understand the underlying patterns in large datasets.
Machine Learning is a key component of data science. Using algorithms like regression, clustering, and decision trees, you’ll be able to create models that predict outcomes, classify data, and even automate tasks.
Master data wrangling and programming skills in Python and R. Data scientists use these tools for tasks such as cleaning data, feature engineering, and building robust data pipelines for accurate results.
Big Data requires the ability to handle vast datasets in real-time. Learn to work with big data platforms such as Hadoop and Spark, which are designed to process and analyze massive amounts of data efficiently.
Data Science offers diverse career paths, including roles like Data Scientist, Business Analyst, Data Engineer, and Machine Learning Engineer. With high demand across industries, data professionals enjoy lucrative and impactful careers.
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FAQ
We offer a variety of IT training courses, including web development, data science, cybersecurity, cloud computing, and more.
You can enroll in a course by visiting our website, selecting your desired course, and following the registration process. For assistance, you can contact our admissions team.
Prerequisites vary by course. Some courses require basic computer knowledge, while others may require specific programming skills. Check the course details for specific requirements.
Yes, we provide a certificate of completion for all our courses. Additionally, some courses prepare you for industry-recognized certifications.
Yes, we offer both online and in-person classes to accommodate different learning preferences.
Course fees vary depending on the program. You can find detailed pricing information on our website under each course description.
Yes, we have a dedicated career services team that provides job placement assistance, resume building workshops, and interview preparation.
Course durations vary. Some are short-term, lasting a few weeks, while others are longer and can span several months. Check the course details for specific timelines.
Yes, we offer flexible payment plans and EMI options for eligible students. Please contact our financial aid office for more details.