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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
Data Manipulation with Pandas
Data Visualization with Matplotlib and Seaborn
NumPy for Numerical Computing
Statistical Analysis with SciPy
Machine Learning with scikit-learn
Data Preprocessing and Feature Engineering
Model Evaluation and Validation
Introduction to Mathematics for Data Science
Probability and Statistics
Introduction to Machine Learning Concepts
Introduction to Recommendation Engines
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.
Data Visualization Specialist
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
Data Science job guarantee programs in Hyderabad give the assurance to students that after completing the course, they will get placements in tech companies according to their skill set and expertise.
There are no prerequisites or qualifications to enroll in a data science program in Hyderabad. No matter what your academic qualification is, you just need a laptop or computer and basic knowledge of it.
This is a very complicated answer to give, but we assure you that you will get a package ranging from 4.5 lakhs to 30 lakhs after completing the data science program in hyderabad.
We have established ethical, academic, and project-related criteria and standards that an individual must meet in order to be eligible for our data science job guarantee course. If a student does not secure a job after completing the course, we will refund the course fee amount.
The data science program in Hyderabad costs 150,000 INR, but you can choose to pay it off in installments of 46,666 INR per month for 3 months, 25,000 INR per month for 6 months, 16,666 INR per month for 9 months, or 12,500 INR per month for 12 months.
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 Recommender systems and Fake news detection.
Yes, we provide comprehensive assistance with interview preparation for data scientist jobs and also offer soft-skills development to enhance your overall employability. This is the main difference between a course and a program – we ensure job placement guarantee after completing the data science course.
Yes, it is a good career choice because there is a shortage of data scientists in the world of IT. The demand for data scientists is expected to grow by 22% from 2020 to 2030, much faster than the average for all occupations. Therefore, it is an excellent career choice and the right time to dive into data science.