Request A Callback

Request callback 82860054e0a475fa851fdf7792563e9fe0c6581aec2f02821607315a5fbb9da6.svg

Chat With Us

Message icon 379ffada3d0e74d968eb617f6f353d25d1af31ac3328bde8cb9ca1098357eac6.svg

Contact Us

Widget icon 09f048bbbfe8e11c029279fbb872b3966281c5ef5c95a2065779de849e8b181f.svg

Check 360b002a4b62e5945e146845135307f9671a38c8b308903fe5be835918e10f9f.svg Callback Requested

Our Academic Counsellor would reach out to you within the next 24 hours.
Technical support d11d16e019dbb2885dda285f9a01e7e03ebbb8e696e5e874bfe1e7e532117626.png
Talk to our Academic Advisors

Ready to become a Rockstar Developer?

Already a member? LOG IN
Full Name *
Email *
Phone Number *
OTP will be sent to this number for verification
+1 *
+1
Graduation Year *


Already a member? LOG IN
OR

Log in using

Mobile Number *
+1 *
+1

OR

Log in using

Verify mobile

We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Verify mobile

We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Our website uses cookies to improve your browsing experience. By continuing to using our site you agree to the use of cookies. Learn more
Provide you details
Email ID *
Phone number *
+1 *
+1

Why Data Science?

Data Science is the process of obtaining actionable insights from raw data. With data science, organizations can make better business decisions by interpreting, modeling, and deploying data. There are numerous methods, algorithms, and processes used to extract insights from large amounts of data. Data Science provides a vast array of tools for working with data coming from a variety of different sources, such as financial logs, multimedia files, marketing forms, sensors, and text files.
A data scientist is someone who uses Data Science to analyze data and provide actionable insights by using various processes, methods, systems, and algorithms. Computer science, modeling, statistics, analytics, and math are the most common skills for these professionals, along with a keen business sense. Data scientists combine esoteric knowledge with practical insight, which makes them so valuable to a company. As a whole, they must fulfill several responsibilities, as follows:
  • Identify data sources and gather data.
  • Analyze structured and unstructured data effectively.
  • Formulate strategies to solve business challenges.
  • Create data strategies in collaboration with team members and leaders.
  • Use algorithms and modules to uncover trends and patterns.
  • Cleaning and verifying the data to ensure it is accurate and uniform
  • One of India's largest cities with a significant IT workforce, Hyderabad is considered to be an ideal place to start up a career in Data Science. As a matter of fact, many Data Science training centers are emerging in Hyderabad. In order to gain an in-demand set of skills required for today's job opportunities in Data Science, we offer the best Data Science training course in Hyderabad. Some of the great career opportunities after completing a Data Science course in Hyderabad include:
  • Lead/Senior/Geospatial Data Scientist
  • Forecasting Analyst, Research Analyst, Data Analytics
  • Analytics Lead/Consultant/Manager
  • Machine Learning Engineer
  • Statistical Programming Specialist
  • Hadoop Developer, etc.
  • Work on projects built in partnership with top companies

    Work on real industry projects, get real-time feedback from mentors, and engage with your peers to discuss different solutions during live classes. Here are a few of the sample projects:
    Use data to design the best strategy for offering coupons and discounts.
    Experiment with different driving routes to minimise wait times.
    Predict when would food arrive at customer's addresses.
    Sniff out fraud by analyzing millions of chat messages.
    *Projects may be updated based on student and partner feedback.

    Get 1:1 guidance with our top industry mentors

    Our 300+ mentors have helped thousands of students by defining their career paths, conducting mock interviews, and giving detailed feedback. Get paired with a mentor and schedule a personalized 1:1 mentoring session twice a month.

    Our panel of Industry Advisors has helped in creating best-in-class program.

    Ramit Sawhney
    Tower Research Capital / ShareChat
    Pawan Kumar
    Head of Data Science, Uber
    Yash Mimani
    McKinsey & Company
    Bhavik Rasyara
    Boston Consulting Group

    Our curriculum will prepare you to tackle the toughest problems in Data Science and ML

    Based on a simple 30 minutes MCQ test, you enter Beginner / Intermediate / Advanced sections. Beginner and Intermediate sections cover some additional basic topics that Advanced students do not need.
    Beginner
    Beginner
    Beginner
    Intermediate
    Intermediate
    Intermediate
    Advanced
    Advanced
    Advanced
    I know bare minimum coding. Starting from scratch
    15 months Course
    Coming soon!
    I know coding in one programming language. Can build basic applications.
    13 months Course
    Enrolment open
    I am good at coding. I know basic problem solving, data structures, algorithms. Can build basic to advanced applications.
    11 months Course
    Enrolment open
    1

    Introduction to Programming

    arrow-icon
    clock-icon 8 Weeks
    • Decision trees & control
    • Binary number system
    • Strings
    • Arithmetic operators
    • Loops
    2

    Programming - Intermediate

    arrow-icon
    clock-icon 8 Weeks
    • Introduction to Number systems and Bit Manipulations
    • Time Complexity Analysis
    • Arrays Techniques
    • Basic Maths for Programming
    • Sorting and Hashing Libraries
    • Recursion
    • OOPS
    3

    Statistical Analysis & Data Analytics

    clock-icon 8 Weeks
    • Python, Jupyter, Numpy, Pandas
    • Git, Linux Terminal, File I/O
    • Statistics, Probability, Linear Algebra
    • Distributions, Sampling, Hypothesis Testing
    • Databases, SQL, Index, Partition, Schema
    • Web API, Scraping, Automation, Flask
    4

    Data Science & Machine Learning

    arrow-icon
    clock-icon 8 Weeks
    • EDA, Data wrangling, Feature Engineering
    • Supervised & Unsupervised Models
    • Ensembling
    • Factor analysis
    • Predictive Modeling & Forecasting
    • Recommender system
    5

    ML Engineering - Deep Learning & Big Data

    arrow-icon
    clock-icon 12 Weeks
    • Keras, TensorFlow, PyTorch
    • Neural Networks, Computer Vision, NLP
    • Reinforcement Learning
    • Research Papers in Deep Learning
    • Warehouse - AWS S3, HDFS, HBase, NoSQL
    • Ingestion - Kafka
    • Analysis - PySpark, YARN, Airflow, Hive
    6

    Programming - Advanced

    clock-icon 15 Weeks
    • Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation
    • Stacks, Queues, Linked Lists, Trees, Tries, Heap
    • Greedy, DP, Graphs
    • DB and System Design

    Our teaching army will make you confident about your fundamentals

    Our tutors are experts from top companies who have built scalable systems and understand the real-life importance of Data Science and Machine Learning.
    Connect with an Academic Counsellor
    Get all the information about scholarships and low cost EMI options
    Eligibility: Anyone who graduated in 2022 or before

    We also help you prepare for your job search and your interviews

    Access job opportunities from our 180+ employer partners
    Exchange job opportunities with our 20K+ Scaler student community'
    Practice mock interviews with people working in the industry
    Optimize your resume & LinkedIn profile with our experienced experts

    Scaler alumni work at reputed tech organizations and promising startups

    Hear from our scaler students and make an informed decision!

    I am superpysched to be a part of Tekion Corp as Senior Software Engineer. The best of interview process I have ever experienced.
    Thanks to the entire team of Scaler to help upgrade my skillsets which certainly made it less daunting. Anshuman Singh Abhimanyu Saxena. Hope to take it to even greater heights!
    The way they taught was the aspect that stood out most to me. Each student was invited to give solutions, and every answer was dissected. No doubt was small enough, and every approach was thought about.
    Thanks to scaler lectures, mentor sessions, and my Mentor Drishti Agarwal, who not only helped me in tackling technical questions but also constantly gave me behavioural and communication tips.
    And the most important part, the mock interviews with my mentor, made me more confident day by day.

    Tuition Fee

    With EMI options, your payment can be as low as Rs 9,811 per month - that's like your monthly grocery bill!
    Total fee: Rs 2.99L inclusive of GST at super affordable EMI options. Try the course for the first 2 weeks - full money-back guarantee if you choose to withdraw.
    EMIs (Pay in Equated Monthly Installments)

    You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)

    emi-image

    Delievered via our EMI partners - ZestMoney, Propelled, Eduvanz, Liquiloans

    You can also choose to avail EMI options from your credit card providers.

    Data Science Training Course FAQs

    What is eligibility for a Data Science course in Hyderabad?

    As a subject, Data Science is a fusion of concepts from Mathematics, Computer Science, and Statistics. It is essential that students have at least one degree in one of the following fields: science, technology, engineering, or mathematics. Additionally, having studied computer programming in high school can be beneficial.

    What will I learn in the Data Science online training course?

    Our curriculum for the Data Science Course will introduce you to concepts of Data Science tools, Data Science algorithms, and machine learning principles that will assist you in gaining some meaningful insights from unstructured data. During a Data Science training course, you will learn about various languages and tools, from Python to SQL, Deep learning, Machine Learning, Artificial Intelligence, Statistical Methods, data analysis, data wrangling, and Data Visualization.

    What are the Career Opportunities or type of jobs that I will be suited for after completing this Data Scientist course in Hyderabad?

    In Data Science, there are a variety of job roles that can be assigned depending on industry needs. Once you graduate from our Data Science course in Hyderabad, you will possess an in-demand set of skills critical to today's Data Science career opportunities, which include: Lead/Senior/Geospatial Data Scientist, Forecasting Analyst, Research Analyst, Data Analytics, Analytics Lead/Manager/Consultant, Machine Learning Engineer, Statistical Programming Specialist, Hadoop Developer, and many more.

    What kind of salary can I expect as a Data Science Professional?

    As a fresher in Data Science, you can expect to earn between Rs. 4-8 lakhs per annum. An experienced professional data scientist (3-5 years experience) earns more than Rs. 10 lakhs per annum by virtue of their skills and expertise. Their salary increases are largely determined by their skill development and learning capabilities. If you are more adept at learning, you will be more likely to grow.

    Who should take this Data Science course in Hyderabad?

    Professionals interested in advancing their careers with Data Science should take this Data Scientist course in Hyderabad.

  • Professional/fresher with logical, mathematical, and analytical skills
  • Professionals working on Business intelligence, Data Warehousing and reporting tools
  • Banking and Finance Professionals
  • Analytics Managers, Marketing Managers, Supply Chain Network Managers
  • Statisticians, Economists, Mathematicians
  • Business analysts
  • What is the Data Science career path in Hyderabad?

    Hyderabad, one of India's most well-known IT hubs, is home to many companies developing Data Science. Many Data Science training centers are emerging in Hyderabad and as an IT hub, Hyderabad has evolved beyond people's expectations and is fiercely competing with Bengaluru. Therefore, job and growth prospects in the Data Science field are vast and commendable in Hyderabad. Our Data Science training course in Hyderabad is designed to train students with the in-demand skills they will need to succeed in today's job market. This course facilitates a deeper understanding of the Data Science domain enabling you to comprehend both trivial and substantial concepts with ease.

    What are the fees for the Data Science course in Hyderabad?

    n Hyderabad, the fee for the Data Science course is Rs. 2.99L inclusive of GST. EMI options are available. Take the course for two weeks - if you decide to withdraw, you're fully refunded. If you opt for an EMI option, your monthly payment will be as low as Rs. 9,811.

    Why should I learn Data Science in Hyderabad from Scaler?

    Scaler offers a Data science course in Hyderabad that will prepare you for interviews and advance your career. You'll gain extensive practical experience by working on real-world projects. Students are provided with a well-structured curriculum curated by industry experts that combines problem solving and CS fundamentals, programming skills like R, Python, Java, etc., system design (high level and low level), programming constructs, specialization options (backend or full stack), etc., that will prepare them for technical interviews. Our instructors and mentors have extensive experience assisting candidates with behavioral interviews.

    How many programming languages will I learn in this Data Science course in Hyderabad?

    You do not need to be a guru at coding to learn data science. Still, having a clear understanding of programming concepts would be helpful. While taking the data science course in Hyderabad, you will learn various programming languages that will help you get into the subject matter of data science. Python, Java, Javascript, R-programming, SQL, etc., are some of them. As a data scientist, it is imperative for you to master at least one language since it is used to accomplish a variety of data science functions.

    Is Data Science course difficult to learn?

    Data Science jobs have more technical requirements, which can make learning more challenging than other technology fields. However, learning Data Science won't be difficult if you are motivated, passionate, and have the ability to deal with data. Developing data science skill or knowledge simply requires practice and time.

    Find Data Science Course in other cities below

    Program Registration
    Thanks for your interest. We will let you know when the course is about to begin.