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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
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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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.
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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.
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 Β 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 β 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.
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