Data Science Courses in Delhi
Join LearnzLab, an encompassing online Data Science program. Experience a transformative journey. With a focus, on core principles and cutting edge techniques we provide you with the skills to master in the field of Data Science. Best courses for data science such as ones provided in Delhi can go this step further by adding the human factor.
You learn to analyze the data, clean and even transform that data to real-world insights and understanding that have potent changes. Data is not only numbers or graphs on a piece of paper, it is rather the voice of business, communities and the voices of individuals. Hence, that is training more than that, the making of technologist-human bridges.
Adding to this is Brillica Services, which provides the most impeccable Data Science Training in Delhi, providing a one-of-a-kind mix of high-end skills with humaness. Join us and master the art of data to empower your decisions, which really matter.
Master Your Data Skills Now
About Course
The Data Science and Analytics Courses offered by LernzLab in Delhi is well suited for those aspiring to become skilled data analysts or simply sharpen their analytical ability. This program will teach techniques and tools used in the systematic exploration, cleaning, transformation, and modeling of data to derive actionable insights for making important decisions made in evidence form.
Because real-world applications is the focus of our course, it prepares you to solve the toughest challenges experienced in business, healthcare, technology, and social sciences.
Enrolling in this program doesn’t just open up a curriculum covering statistical analysis with machine learning, big data analytics, and data visualization: it will also avail hands-on projects and training by experts for development in critical thinking and problem-solving that mark possible thriving in the data-driven world. Coupled with an internationally recognized certification, the program also gives placement support, which finds you to top employers whose job openings are intense for precision hire.
At LernzLab, we are proud to attribute ourselves with the best data science and analytics training in Delhi. To meet your needs, the institution does not follow regular training models but goes ahead to provide a support system and innovative learning. Join us for impartation on core skills like SQL, Python programming, advanced Excel skills, machine learning, and presenting data insights. Make your first step toward a successful data science and analytics career with us at LernzLab to unlock future earnings potential.
Key Skills You Will Master
- SQL (Structured Query Language)
- Microsoft Excel
- Python for Statistical Programming
- Critical Thinking
- Data Visualization
- Machine Learning
- Presentation Skills
Course Curriculum
What is Programming ?
Historical Evolution of Programming
What is Python ?
Features of Python
Fundamentals of Python Programming(Token, Operators)
Conditional Statements(if else, nested if else, elif)
Iterative Statements (for loop, while loop)
Functions in Python(Recursion, HOF, Lambda)
Collections in Python(List, Tuple, Dictionary, Set, String)
Modules in Python
File Handling and Exception Handling
OOPS Concepts
Multithreading
Database Connectivity
Arrays in numpy
Multi Dimensional Arrays
Operations on Array
Conversion of python object into numpy array
In-built functions to create an array
Insert, Update, Append, Merge, Reshape, Delete, Sort, Filter, Traversal etc.
Broadcasting and Vectorization
Series in pandas
Dataframe in pandas
Slicing and Splicing operations
Conversion of python object into Dataframe
In-built functions to create pandas
Import and Export Dataset (CSV, Excel, SQL)
Insert, Update, Append, Merge, Reshape, Delete, Sort, Filter, Traversal etc.
Introduction to EDA
Statistics
Types of Data
Data Profiling, Cleaning, Analysis
EDA using library built in datasets
Visualization using Seaborn
Visualization using Matplotlib
Feature Transformation
Feature Scaling
Feature Extraction
Feature Encoding
Feature Augmentation
Upsampling and Downsampling
Introduction to ML
Statistics
Supervised Learning
Regression Algorithms
Classification Algorithms
Unsupervised Learning
Clustering Algorithm
Introduction to Deep Learning
Statistics
Concept of Perceptron
Artificial Neural Network (ANN)
Forwardfeed and Backpropagation
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Seq2Seq Model
LSTM and GRU
Attention Mechanism
AutoEncoder
Pre-Trained Models- GPT and BERT
Types of DBMS and its Terminology (Keys, ER-Diagram, Schema, Normalization etc)
Introduction about MySQL, SQL Server, PostgreSQL, Oracle, SQLite
Introduction to cloud-based SQL platforms (Amazon RDS, Azure SQL, Google Cloud SQL)
Types of Commands- DDL, DML, DQL, TCL, DCL
Operators, Clause and Constraints in SQL
Operations on database and tables
Sort, Filter, Merge, Copy, Backup and Restore, Import and Export etc.
Functions and Data Types
Subqueries and Nested queries
Joins, types of joins and Complex Queries
Advanced SQL Concepts (CTE, Indexes, Cursor, Window function, Procedures, Conditional Statements, Iterative Statements)
project based training course
Certified & Industry Experienced Trainers
Beginner To Expert-Level Training
Best-In-Class Training Curriculum
Online & Offline Training Modes
Courses
Business Analytics
Duration : 3 Months
Data Analytics with Python
Duration : 4 Months
Data Science with Python
Duration : 4 Months
Machine Learning with Python
Duration : 6 Months
Deep Learning with Python
Duration : 6 Months
Data Science and AI with Python
Duration : 11 Months
Data Visualisation With Power BI
Duration : 1 Months
Data Visualisation With Tableau
Duration : 1 Months
Tools to be covered
Who Can Apply?
- Fresh Graduates: From fields like math, stats, computer science, or business.
- Aspiring Data Professionals: Passionate about data analysis and insights.
- Working Professionals: Transitioning from IT, marketing, finance, or engineering.
- Data Enthusiasts: Keen to learn modern tools and techniques.
- Experienced Data Scientists: Enhancing expertise and staying updated.
- Business Analysts: Seeking data-driven decision-making skills.
- Career Switchers: Moving from non-technical domains to data science.
Job Role
Develop predictive models, analyze large datasets, and derive actionable insights for decision-making.
Interpret data patterns, create dashboards, and provide insights to drive business strategies.
Build, train, and deploy machine learning models to automate processes and enhance efficiency.
Design, build, and maintain data pipelines and infrastructure for efficient data processing and storage.
Use data visualization tools to create reports and dashboards, supporting business leaders in making informed decisions.
Apply statistical methods to interpret data and solve real-world problems in various industries.
Develop and implement artificial intelligence systems, such as recommendation engines or chatbots.
Handle massive datasets and optimize data storage, retrieval, and analysis for organizations.
Surya Kumar
Data Science trainerOur Faculties
Career Services
Profile Building
We help in Creating & growing your professional profile that will make you stand out in the professional world.
Interview Preparation
We conduct multiple mock interview sessions with various tips & tricks that will make you habitual & confident in an interview environment.
Job Placement
Our dedicated team continuously works on finding & providing multiple opportunities for the students and provides 100% placement assistance.
Testimonial
"LernzLab gave me more than knowledge—it gave me a community. I always had someone to turn to, whether it was for a doubt, advice, or just motivation. The practical projects and real-world scenarios made me feel ready for anything. I’m so grateful for this experience."
"Learning at LernzLab wasn’t just about technical skills; it was about becoming a better professional. The supportive trainers, the collaborative environment, and the constant push to grow made this experience unforgettable. I’m proud to be a part of the LernzLab family."
"I was completely new to data science, and honestly, I was nervous at first. But LernzLab’s team made everything approachable and clear. The course felt personal, like it was tailored just for me. They didn’t just teach—they inspired me to believe in myself."
Certification
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Worldwide Recognition
Earn a globally recognized certification that opens doors to new opportunities and highlights your expertise to employers and clients. -
Lifetime Validity Assurance
Your certification remains valid for a lifetime, offering enduring value and credibility. This ensures your achievements continue to enhance your professional profile as you advance in your career. -
Exclusive Networking Opportunities
Gain access to an exclusive community of professionals who share similar certifications. Build valuable connections, collaborate on projects, and leverage networking opportunities to enhance your career growth.
Frequently Asked Questions
Becoming a data scientist offers high demand, great career prospects, and the chance to solve complex problems using data. It's a rewarding field with opportunities in various industries, making it a top choice for those interested in tech and analytics.
The Data Science Program at Brillica Services equips you with a vast array of tools to handle data from various sources, such as financial logs, multimedia files, marketing forms, sensors, and text files. A key aspect of Data Science is structuring data for analysis, including cleaning, aggregating, and manipulating it to perform advanced evaluations.
Key areas to master before entering the field include knowledge of data, algorithms, programming languages, statistics, and the business domain. If you're lacking in any of these, it's recommended to strengthen those skills before starting a data science course.
You’ll gain expertise in Python, SQL, Power BI, AWS, Flask, Excel, and advanced libraries for Machine Learning and NLP.
The 6-month course focuses on core data science topics like Python, EDA, and Machine Learning, while the 12-month Full Stack program includes additional tools like SQL, AWS, Flask, and Power BI for holistic data management and deployment.
A specialized program covering data science fundamentals, advanced techniques, and their integration with cloud, web development, and visualization tools.
