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)
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ο Intro to the program schedule.
ο Quant & aptitude preparation
ο Introduction To Excel
ο Formatting
ο E5
ο Aggregate Functions Visualization
ο Lookup & Reference
ο Text functions , Working with dates
ο Power Pivot
ο Power Query, Unpivoting Using
ο Data Analysis & Macros
AIΒ Modules
βο AI-Powered Data Insights (Analyze Data Feature)
ο Automated Data Cleaning with AI
ο Introduction to Dynamic Arrays with AI Suggestions
ο Automated Forecasting and Predictions
ο ChatGPT/AI Integration for Formula Assistance
ο Automated Text Analysis Using AI
ο Create your resume with the help of our career counsellor.
ο Fire up your LinkedIn profile and boost your personal brand.
ο Introduction to SQL, Clauses,
ο Operators andΒ Β Basic SQL commands
ο Basic SQL commands ,Aggregate queries
ο Data Constraints
ο Joins
ο Sub queries, Loops, Advance SQL functions
ο Advance SQL functions Views
ο Transactions, Procedural SQL
ο Advance conepts(Triggers,Sequences )
ο Optimizations, Window functions
AIΒ Modules
ο AI-Assisted SQL Query Writing
ο AI-Powered SQL Code Completion and Error Detection
ο AI for Data Visualization in SQL Clients
ο Natural Language Querying in SQL Databases
ο AI-Powered Data Profiling and Analysis
ο Introduction to Power BI
ο Data Pre-processing in Power Query (Basic)
ο Data Pre-processing in Power Query (Advanced)
ο Visualisation (Basic)
ο Data Modeling
ο DAX
ο Data Visualisation (Advanced)
ο Data Analysis Project using Power BI
AIΒ Modules
ο AI-Powered Data Insights
ο Natural Language Queries with Q&A Feature
ο AI-Driven Data Preparation with Power Query
ο AI Visualizations and Custom Visuals
ο Introduction to Python installations, fundamentals
οΒ Basic Fundamentals
ο Functions
οΒ Data Structure introduction
ο Python
ο Python logical questions
ο File handling
ο Oops
ο Linear algebra
ο Introduction to Numpy
ο Introduction to Pandas
ο Data Visualization using Matplot
ο Graphs
AIΒ Modules
ο Introduction to AI Concepts with Python
ο Working with NumPy for Numerical Computing
ο Data Manipulation with Pandas
ο Basic Data Visualization with Matplotlib and Seaborn
ο Working with AI APIs and Services
ο Basic Natural Language Processing (NLP) with NLTK
ο Working with OpenAI APIs in Python
ο Introduction to Mathematics for Data Science
ο Linear Algebra
ο Calculus
ο Probability and Statistics
ο Multivariable Calculus
ο Optimization Techniques
ο Linear Regression
ο Probability Distributions
ο Hypothesis Testing
ο Choose your capstone and start with the project with the help of our mentors.
ο Start with posting on LinkedIn about your program completion.
ο Attend interviews arranged by our placement team and crack it up.
ο Apply for jobs suggested by our placement team
ο Introduction to Amazon Web Services (AWS) and Microsoft Azure as prominent cloud computing platforms.
ο Core services and functionalities of AWS, such as EC2, S3, RDs.
ο Core services and functionalities of Azure, including Virtual Machines, Storage, SQL Database, and Machine Learning.
ο Cloud-based data storage and management using AWS S3 and Azure Storage.
ο Leveraging cloud services for scalable and efficient infrastructure in data science workflows.
ο Data security, access controls, and compliance considerations in cloud environments.
ο Hands-on exercises and projects to apply cloud computing concepts to real-world data science scenarios.
ο Introduction to big data and its significance in data science.
ο Distributed computing frameworks like Apache Hadoop and Apache Spark.
ο Big data storage technologies, including HDFS and NoSQL databases.
ο Data ingestion, processing, and transformation techniques.
ο Big data analytics, machine learning algorithms, and data visualization.
ο Scalable data processing and real-time analytics.
ο Data streaming technologies like Apache Kafka.
ο Data pipeline orchestration using tools like Apache Airflow.
ο MedTech
ο Fintech
ο Supply Chain
ο E Commerce
ο Service based
ο Finance Analyst
ο Risk Analyst
ο Clustering
ο Business Analyst
βο Data Engineer
ο Data Visualization Specialist
ο Data Scientist
ο Data Architect
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We provide a balance between structured learning and flexibility, allowing students to learn at their own pace while still having access to expert guidance and support.
Learn and get mentorship from experienced mentors who has years of experience in their respective fields by working with major brands in the country.
Project-based learning allows students to develop critical thinking and problem-solving skills by engaging them in real-world projects and challenges.
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Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
Agnidipta Sarkar
Management Trainee , TCS
I believe that I developed an understanding of the process of usability. This is what I was interested in achieving. This is the third course I have taken from Vertocity and I feel that I am achieving a good understanding of Data Science.
Gaurav Chaudhary
Android developer, Cognizant
I liked that the course included step-by-step exercises and tutorials PLUS unassisted assignments. Unlike exercises where a student can get by simply doing as directed, the assignments reveal the real learning. The assignments were where I discovered whether I truly understood the material. This course produces real learning.
Vaishnavi
Zero code HR
The fact that the assignments are graded means that thereβs incentive to work on them, solve problems, and ask questions. Traditional online courses donβt offer that incentive.
Harish
Data Engineer, Uddan
Very well organized and conceived. By following the course, I was able to learn and build on the concepts with minimal questions or frustration. It taught me what I was looking to learn, was well organized, and well paced. Iβm already applying what I learned at work.
Lokesh Krishna
Software Development Engineer, Capgemini
Course materials were good, the mentoring approach was good, and working with other people via the Internet was good. The instructor did a good job of communicating and making it a more intimate arrangement. A lot of online courses fail because of the isolation. Kitty is very good and I think itβs a very solid course. I learned a lot.
Mounika raiker
Software Development Engineer, Wipro
Not only did this experience teach me the proper techniques of technical writing and the process of Python as promised, but it also taught me how to learn independently, how to stick with a problem and find ways of solving it, and perhaps most significantly, the experience taught me the skills that will enable me to continue to develop my technical writing skills beyond the electronic classroom.
The Job Oriented Program is program based on the real time project based learning and make you ready for the placement oriented learning.
This program will take place online using platforms such as Zoom or Google Meet.
We have a dedicated placement hub that ensures placements ranging from 4.5 LPA to a maximum of 25 LPA, depending on the course, field, and individual's experience.
The enrolled individuals have access to the international learning community for any assistance, and we also provide 24/7 student support in case of any doubts after sessions. Additionally, we offer a learning hub that will help you solve problems and prepare for interviews.
Yes, we provide comprehensive assistance with interview preparation for data analyst jobs and also offer soft-skills development to enhance your overall employability.
Yes, you surely can get yourself enrolled irrespective of the academic background that you belong. We believe in starting from scratch by focusing on fundamentals initially; therefore, there are no educational prerequisites for the courses.
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