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Intro to the program schedule.
Quant & aptitude preparation
Advanced Formulas and Functions
Data Analysis and Visualization
Advanced Data Manipulation Techniques
Power Query and Power Pivot
Macros and VBA Programming
Data Integration and External Data Sources
Advanced Charting and Visualizations
Excel Solver for optimization and what-if analysis
Collaborative Features for teamwork and document review
Excel Automation and Productivity Tips
Create your resume with the help of our career counsellor.
Fire up your LinkedIn profile and boost your personal brand.
Basic SQL Syntax
Aggregation and Grouping
Introduction to Power BI
Data Source Connectivity
Data Transformation and Modeling
DAX (Data Analysis Expressions)
Advanced Data Modeling
Measures and KPIs
Data Refresh and Sharing
Collaboration and Collaboration
Power BI Service
Power BI Mobile
Advanced Analytics and AI
Security and Data Governance
Introduction to Python for Data Science.
Python Libraries for Data Analytics.
Data Manipulation with Pandas.
Exploratory Data Analysis (EDA)
Data Wrangling with Pandas.
Introduction to Mathematics for Data Science
Probability and Statistics
Choose your capstone and start with the project with the help of our mentors.
Start with posting on LinkedIn about your program completion.
Attend interviews arranged by our placement team and crack it up.
Apply for jobs suggested by our placement team
Introduction to Amazon Web Services (AWS) and Microsoft Azure as prominent cloud computing platforms.
Core services and functionalities of AWS, such as EC2, S3, RDs.
Core services and functionalities of Azure, including Virtual Machines, Storage, SQL Database, and Machine Learning.
Cloud-based data storage and management using AWS S3 and Azure Storage.
Leveraging cloud services for scalable and efficient infrastructure in data science workflows.
Data security, access controls, and compliance considerations in cloud environments.
Hands-on exercises and projects to apply cloud computing concepts to real-world data science scenarios.
Introduction to big data and its significance in data science.
Distributed computing frameworks like Apache Hadoop and Apache Spark.
Big data storage technologies, including HDFS and NoSQL databases.
Data ingestion, processing, and transformation techniques.
Big data analytics, machine learning algorithms, and data visualization.
Scalable data processing and real-time analytics.
Data streaming technologies like Apache Kafka.
Data pipeline orchestration using tools like Apache Airflow.
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.
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
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.
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.
Software Development Engineer, Virtusa
The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.
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. I’m already applying what I learned at work.
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 it’s a very solid course. I learned a lot.
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.
Job Guarantee Program is one of our key features which ensures that given an individual fulfils the mentioned criteria, he/she will be having a Guaranteed Job post the completion of the course.
We have mentioned some ethical, academic and project(s) related criteria/standards based on which an individual will be eligible for a Job Guarantee wherein if after finishing the course he/she doesn't get placed, then we would refund the amount of the course fee.
The percentage of students placed in the Job Guarantee program is 100%, i.e., every individual eligible for the program has been identified.
The average years of experience for the tutors is 5 years.
We have a dedicated placement hub that ensures placements starting from 4.5LPA to a highest of 30 LPA depending upon the individual's course, field and experience
The enrolled individuals have access to the international learning community for any assistance, and we also have 24*7 student support in case of any doubts post-sessions.
Yes, we help individuals thoroughly with Interview Preparation and their Soft-skill Development.
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.