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 Job Guarantee Program is one of our key features which makes sure that if a person meets the mentioned criteria, he/she will get a guaranteed job after the completion of the Data Analyst course.
We have established ethical, academic and project-related criteria/standards that an individual must meet in order to be eligible for our job guarantee program. If a student does not secure a job after completing the course, we will refund the course fee amount.
The percentage of students placed in the Job Guarantee program is 100%, i.e., every individual eligible for the program has been identified.
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 30 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.