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Time is ticking! Attend our live session FOR FREE if you register before timer ends
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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 Introduction to Machine Learning Concepts
ο Supervised Learning
ο Unsupervised Learning
ο Regression
ο Classification
ο Clustering
ο Introduction to Recommendation Engines
ο Collaborative Filtering
ο Content-Based Filtering
ο Hybrid Approaches
ο Matrix Factorization
ο Item-Based Filtering
ο User-Based Filtering
ο Evaluation Metrics
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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ο Intro to the program schedule.
ο Quant & aptitude preparation
ο Advanced Formulas and Functions
ο Data Analysis and Visualization
ο Advanced Data Manipulation Techniques
ο Power Query and Power Pivot
ο Macros and VBA Programming
ο Data Integration and External Data Sources
ο Advanced Charting and Visualizations
ο Excel Solver for optimization and what-if analysis
ο Collaborative Features for teamwork and document review
ο Excel Automation and Productivity Tips
ο Create your resume with the help of our career counsellor.
ο Fire up your LinkedIn profile and boost your personal brand.
ο Basic SQL Syntax
ο Data Querying
ο Filtering Data
ο Sorting Data
ο Joins
ο Aggregation and Grouping
ο Subqueries
ο Data Modification
ο Indexing
ο Views
ο Stored Procedures
ο Transactions
ο Advanced Functions
ο Introduction to Power BI
ο Data Source Connectivity
ο Data Transformation and Modeling
ο Data Visualization
ο DAX (Data Analysis Expressions)
ο Power Query
ο Advanced Data Modeling
ο Measures and KPIs
ο Advanced Visualizations
ο Data Refresh and Sharing
ο Collaboration and Collaboration
ο Power BI Service
ο Power BI Mobile
ο Advanced Analytics and AI
ο Security and Data Governance
ο Introduction to Python for Data Science
ο Data Manipulation with Pandas
ο Data Visualization with Matplotlib and Seaborn
ο NumPy for Numerical Computing
ο Statistical Analysis with SciPy
ο Machine Learning with scikit-learn
ο Data Preprocessing and Feature Engineering
ο Model Evaluation and Validation
ο Dimensionality Reduction
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 Introduction to Machine Learning Concepts
ο Supervised Learning
ο Unsupervised Learning
ο Regression
ο Classification
ο Clustering
ο Introduction to Recommendation Engines
ο Collaborative Filtering
ο Content-Based Filtering
ο Hybrid Approaches
ο Matrix Factorization
ο Item-Based Filtering
ο User-Based Filtering
ο Evaluation Metrics
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
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Learn and get mentored by experienced professionals with years of working experience from giants of the respective industries.
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.
Rajesh Kurivi
Software Development Engineer, Virtusa
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.
Kavita Ladia
HR Associate, Grant Thornton
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 Data Science Job Oriented Program is one of our key features which makes sure that if a person meets the mentioned criteria, he/she will get a Oriented job after the completion of the program.
All instructors are in prominent positions in the tech industry with plus 10 of experience, with some being founders and others serving as project managers in big tech companies like MAANG.
This program will teach you the skills you need to succeed in a data science career, through project-based learning. You will work on real-world data science projects, such as customer segmentation and sales forecasting.
This data science program is open to everyone, regardless of their educational background or prior experience. All you need is a laptop and basic computer knowledge.
Vertocity believes that everyone who graduates from our program should have the opportunity to find a good job. That's why we have a dedicated placement hub that works tirelessly to connect our graduates with employers. Our placement hub has a proven track record of success, and we are confident that we can help you find a rewarding career in data science.
This data science course is open to everyone, regardless of their educational background. Whether you have a degree or not, you can still learn the skills you need to become a data scientist.
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