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IBM Certified Data Science course with Free Internship & 100% Placement Assistance
*Data is the fuel of the 21st Century.
This advanced IBM Certified Data Science course in Hyderabad guarantees career transformation. Here’s a one-time opportunity to learn with the best Data Science training in Hyderabad. Gain knowledge of data analytics, tools, and operations for data science certification and meet the massive demand for these skills. It is VILT & ILT training!
Here you will learn to read, analyze, clean, engineer, and present data in a way that promotes the growth of your business. In order to drive data and extract significant results, this Data Science course can help you progress in leaps and bounds. This IBM Certified Data Science training will accelerate your career as it covers relevant topics & pushes you to work on real-time scenarios.
Artificial Intelligence and Machine Learning in Data Science technology are constantly revolutionizing the industry by innovating and solving complex business problems. Innomatics Research Labs is a hub of advanced training in such technologies.
Our principle of holistic development lies in the strong bedrock that believes in the amalgamation of theoretical knowledge along with practical training. This makes us the best Data Science course in Hyderabad.
PREREQUISITES:
The candidate must be pursuing a Bachelor’s degree.
Previous coding experience is an added benefit.
IBM Certified Data Science Course Curriculum (Syllabus)
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Module 1: Python Core & Advanced
INTRODUCTION
- Variables, Data Types, and Strings
- Lists, Sets, Tuples, and Dictionaries
Control Flow and Conditional StatementFunctions and ModulesFile Handling
Class and Objects
Module 2: Data Analysis using Python
Numpy – NUMERICAL PYTHO
Data Manipulation with Pandas
DATA VISUALIZATION
Data Visualization using Matplotlib and Pandas
Exploratory Data Analysis
UNSTRUCTURED DATA PROCESSING
Regular Expressions
Project On Web Scraping: Data Collection And Exploratory Data Analysis
Module 3: Advanced Statistics
Introduction to Statistics and Data Types
Descriptive Statistics
Probability Distribution
Inferential Statistics
Module 4. Data Base (SQL) + Reporting Tool (Power BI)
Introduction to SQL
Data Exploration and Data Filtering (DQL and OPERATORS)
SQL Fundamentals
SQL Database Objects
Advanced Topics
Introduction To Power BI
Data Import And Data Visualizations
Power Queries
Power Pivot And Introduction To Dax
Data Analysis Expressions
Login, Publish To Web And RLS
Miscellaneous Topics
Module 5: Machine Learning - Supervised & Un-Supervised Learning
Introduction
Validation Methods
Supervised Learning
Probability-Based Approach – Naive BayesPolynomial Regression
Introduction And Linear Algebra
Distance Based Approach – K Nearest Neighbors
Rule / Decession Boundary Based Approach – Decision Trees
Boundary-Based Linear Model – Linear Regression
Multiple Linear Regression
Evaluation Metrics for Regression Techniques
Polynomial Regression
Regularization Techniques
Logistic regression
Support Vector Machines
Ensemble Methods in Tree Based Models
Random Forest
Boosting: Adaboost, Gradient Boosting, XG Boosting:
Machine Learning Applications for Data Analysis
Un Supervised Learning
Dimensionality Reduction Techniques – PCA & t-SNE
K-Means Clustering
Hierarchical Clustering
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Module 6: Deep Learning
Introduction to Deep Learning Principal Components Analysis
Neural Network Architecture and Activation Functions
Forward and Backward Propagation Optimizers
Neural Network Architecture and Activation Functions
Keras Hands-on – Regression and Classification
Module 7: CNN & Computer Vision
Intro to Images and Image Preprocessing with OpenCV CNN Architecture
Image Classification Case Study
Transfer Learning
Case Study with Transfer Learning
Object Detection
YOLO – Case Study
Module 8: Natural Language Processing
Introduction to text and Text Preprocessing with nltk and spacy
Vectorization Techniques
Project – Text Classification
RNNs
Project – Sequence Tagging
LSTMs
Auto Encoders
Transformer and Attention
BERT
Module 9: Gen AI
Intro To Gen AI
Intro To LLM
Prompt Engineering and Working with LLM
Open AI
Gemini
LLaMA
LangChain
Languages & Tools covered in IBM Certified Data Science
Why Innomatics Stands Out the Best!
Why Data Science at Innomatics Research Labs?
- 500+ Industry experts from fortune 500 companies
- Dedicated In-house data scientist team accessible round the clock
- 200+ Hours of intensive practical-oriented training
- Flexible Online and Classroom training sessions
- 5+ Parallel Data science batches running currently on both weekdays & weekends
- Backup Classes and Access to the Learning Management System (LMS)
- One-to-One Mentorship and Free Technical Support
- FREE Data science Internshipon our projects & products
- Projects and use-cases derived from businesses
- 30+ POCsand use cases to work, learn, and experiment
- Bi-weekly Industry connects from industry experts from various sectors
- Opportunity to participate in Meet-ups, Hackathons, and Conferences
- Dedicated training programs for NON-IT professionals
- 100% placementassistance
- Globally Recognized Certification from IBM
What is the scope of Certified Data Scientists in India?
Data Science is quoted as the Sexiest Job of the 21st Century – Harvard Business Review
According to the Harvard Business Review, Data Scientist is the sexiest job of the 21st century. Data Science has also topped LinkedIn’s Emerging Jobs List for 3 years in a row.
During the pandemic in 2021, there were around 82,000 job openings globally that required skills in Data Analysis and India witnessed a 45% increase in the adoption of Artificial Intelligence.
Therefore with each passing day, individuals and organizations are embracing digital increasing the market demand for Data scientists. The average salary of a Data Scientist in Hyderabad alone is at around Rs 6 lakhs. An entry-level Data Scientist can earn anything between Rs 5 -6 lakhs. If a candidate is willing to constantly learn, upgrade and upskill themselves, the compensation package may go up to Rs 24 lakhs or crores for that matter.
Job opportunities (Careers) in Data Science Technology
Data Scientists are needed for businesses in every Industry. Even tech giants such as Google, Amazon, Apple, Facebook, Microsoft are constantly in need of Data Science experts who have in-depth knowledge in data extraction, data mining, visualization, and more. Here are some leading careers in Data Science
Business Intelligence Developer
With an average salary of $89,333, they design and develop business strategies for quick decision-making and growth.
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.
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.
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.
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 Architect
With an average salary is $137,630, they build data solutions that can be applied on multiple platforms.
Data Analyst
With an average salary of $83,989, they transform and manipulate large sets of data, which incorporate web analytics tracking and testing.
Data Engineer
With an average salary of $151,498, they perform real-time processing on data that is visualized and stored.
GLIMPSES OF OUR VICTORY – Successfully Placed Innominions
Here are the Success Stories of our Innominions
Frequently Asked Questions (FAQs)
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What will I learn in IBM certified Data Science?
In Data Science, you will learn how to find valuable data, analyze and apply mathematical skills to it to use in business for making great decisions, developing a product, forecasting, and building business strategies.
What is the average salary of a Data Scientist?
Salary of a Data Scientists entirely depends on the skillset. As per the recent reports, on average a Data Scientists earn ₹14,00,000 per year.
Are there any prerequisites to learn the Data Science course?
One need not have any major knowledge in Data Science. A basic understanding of technology is all enough to get started. It is better to possess knowledge of mathematical and communication skills, Python, R, and SAS tools.
What are my takeaways after completion of the Data Science course?
Based on the program you choose, you will get a course completion certificate from Innomatics. Mastery level certification from IBM.
What are the career opportunities in Data Science Technology?
As data has become the never-ending part of this world, businesses need people to work with data for effective business processing. Organizations are ready to recruit and pay top dollars to the right dollars, which can leverage the business.
Here are some of the roles you can find in Data Science
- Research Analyst
- Data Scientist
- Data Analyst
- Big Data Analytics Specialist
- Business Analyst Consultant / Manager
- Data analyst
If I study Data Science course in Hyderabad, is placement guaranteed?
Apart from the training, we do provide placement and career assistance with capstone projects and hands-on training after completing the course successfully. We do offer internship programs, mockup interviews, hackathons to gain more knowledge and explore a wide range of job opportunities.
Will I get any career support after the Data Science training?
All our trainees will have access to the Learning Management System (LMS), where they can get the backup classes and stay updates, 1-1 interviews, continuous updates on placements, and hackathons.
What is the eligibility criteria to learn Data Science course?
Anyone who has a bachelor’s degree, a passion for data science, and little knowledge of it are eligibility criteria for the Data Science Course.