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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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
Android developer, Cognizant
Software Development Engineer, Virtusa
HR Associate, Grant Thornton
Software Development Engineer, Capgemini
Software Development Engineer, Wipro
The total fee of the data analytics program is 1,35,000 INR, and there are also no-cost EMI options available. The EMI plan starts with a 10,000 INR down payment, and the remaining amount can be divided into 3, 6, 9, and 12 monthly installments.
The duration of the data analytics program is 6 months with a weekly-based curriculum and project-based learning.
This data analytics program is open to everyone, regardless of their educational background or prior experience. All you need is a laptop and basic computer knowledge.
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 is the key feature of vertocity data analytics program in Hyderabad, that you will learn project based not just theoretically. We will give you the data analytics projects to practice.
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.
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 analytics.
This data analytics course is designed for people from all educational backgrounds. Whether you have a degree or not, you can still learn the skills you need to become a data analyst in Hyderabad.