Data Science Course In Hyderabad
With
100% Placement Assistances
- Achieved a 90% placement success rate with over 100 students placed in a Data Science.
- We offer internships, resume building, and mock interviews +Study Material.
- Prepare Python, SQL, Machine Learning, and AI from Scratch.
Become a Data Science Pro
- Python(R, SQL)
- Jupyter Notebook
- Power BI / Tableau
- Excel (Advanced)
- Google Colab
- Scikit-learn
- TensorFlow / Keras
- Git & GitHub
WHY CHOOSE US?
4 Months Course
100% Practical & AI Integrated Business Analyst Course.
1 Month Internship
100% Practical & AI Integrated Business Analyst Course.
Excellent Training
100% Practical & AI Integrated Business Analyst Course.
1-on-1 Mentorship
100% Practical & AI Integrated Business Analyst Course.
Placement Assistance
100% Practical & AI Integrated Business Analyst Course.
30+ Modules
100% Practical & AI Integrated Business Analyst Course.
Live Project
100% Practical & AI Integrated Business Analyst Course.
Certifications
100% Practical & AI Integrated Business Analyst Course.
Data Science Course Curriculum (Syllabus)
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
What is Data Science?
- Data Science is a field that combines various tools, algorithms, and systems to analyze and interpret complex data. It helps organizations make informed decisions by turning raw data into valuable insights.
- Data science simplified involves understanding patterns, trends, and relationships in data through statistical analysis and machine learning techniques.
At its core, data science focuses on collecting and analyzing data, then using that information to solve problems or predict future trends. - It’s a multi-disciplinary field that involves statistics, computer science, and domain expertise.
- Using data science tools, data professionals can identify opportunities for business growth, optimize processes, and even forecast customer behavior. In simpler terms, data science enables us to find meaning in the ever-growing volume of data that surrounds us, providing insights that can lead to better decision-making across various industries.
Our Placement Process
Resume Building & Interview Prep
Our career coaches help you create a standout resume and prepare for technical interviews.
Portfolio Development
Build an impressive portfolio of AI projects that showcase your skills to potential employers.
Exclusive Job Portal
Access our exclusive job portal with opportunities from our partner companies.
Placement Assistance
Our dedicated placement team works with you until you secure your dream job in AI.
Job opportunities (Careers) in
Data Science Course in Hyderabad
Business Intelligence Developer
With an average salary of $89,333, they design and develop business strategies for quick decision-making and growth.
Enterprise Architect
With an average salary of $161,323 they work with stakeholders, including management and subject matter experts (SME), to develop a view of an organization’s strategy, information, processes, and IT assets.
Data Scientist
With an average salary of $139,480, they explore, analyze, visualize, and organize data for the companies. They analyze the complex data sets and processes to find patterns for decision making and predicting the business and drive strategies.
Data Architect
With an average salary is $137,630, they build data solutions that can be applied on multiple platforms.
Applications Architect
With an average salary of around $134,520, they track applications behavior and applied in the business to analyze the way they interact with the user.
Data Analyst
With an average salary of $83,989, they transform and manipulate large sets of data, which incorporate web analytics tracking and testing.
Industry Architect
With an average salary of $126,353, they analyze the business system and optimize accordingly to support the development of updated technologies and system requirements.
Data Engineer
With an average salary of $151,498, they perform real-time processing on data that is visualized and stored.
Tools Covered in Data Science course
Data Science Course Certification
and Internship Certificate
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Student Testimonials – Data Science Course In Hyderabad
“I started with no prior knowledge of data science, but after completing the Data Science Course at Minted Minds, I landed my first job as a data analyst. The course provided easy-to-understand data science training, covering everything from machine learning to real-world data projects. The hands-on experience with the best tools for data science projects was a game-changer.”
Sravya
“As a software developer, I decided to switch to data science to open new career opportunities. Minted Minds helped me understand the core concepts of data science with step-by-step programs. The practical data science projects gave me the experience needed to apply my skills in real-world scenarios, and now I am working as a data scientist at a leading firm.”
Harish
“I was skeptical about online learning, but Minted Minds’ online data science course proved me wrong. The structured curriculum, covering everything from data analysis to machine learning, was incredibly helpful. With placement support, I was able to secure a great job after completing the course.”
Uday
“The Data Science course at Minted Minds was exactly what I needed to boost my career. The instructors were industry experts, and they taught us using real-world data science tools. I also appreciated the affordable certification programs, which helped me get a job in data science.”
Shalini
“The Data Science training at Minted Minds was fantastic! I started as a beginner and by the end of the course, I was confident enough to work on practical data science projects. The course’s focus on both online and offline learning options made it very flexible.”
Ravi
“What I loved about Minted Minds is the personalized learning approach. The trainers were always available to clear doubts, and the course covered everything from the basics to advanced data science topics. Thanks to this course, I was able to pursue a career in data science and secure a job with a top tech company.”
Meera"s
Data Science Course in Hyderabad
Frequently Asked Questions
1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional Statement, Functions, Modules and File Handling
Class and Objects
Ready to Transform Your Career?
Join Mintedminds today and take the first step towards becoming a skilled Data Science. Our expert trainers and comprehensive curriculum will help you achieve your career goals.
100+
90%
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