Data Science training in hyderabad with
100% placement Assistance
Enrol in the Certified Data Science course in Hyderabad and transform your career with the best training available. This comprehensive advanced data science course provides training in data analytics, tools, and operations, which are in high demand in the industry.
The course covers a wide range of topics including reading, analyzing, cleaning, engineering, and presenting data in a manner that facilitates business growth. By taking this course, you can progress rapidly in your career and gain valuable skills for driving data and extracting meaningful results.
Our training methodology focuses on both theoretical knowledge and practical training, ensuring the holistic development of our students. With our industry-relevant curriculum and experienced faculty, we offer the best Data Science training in Hyderabad. Moreover, we also provide free internships and 100% placement assistance to our students.
With its high demand and lucrative salary compared to other professions, data science is one of the most attractive globally. In 2022, the market for data science experts is projected to increase by 30.1%. Despite being a relatively new field, data science is continually growing and increasing in demand.
Enroll Here for the Course
Our Clients
Students testmonials on Google
Who can take this advanced Data Science Course Training?
This Data Science Course Training is designed to equip students with the necessary data science skills to tackle complex business problems in specific industries or domains effectively. It is not particular to any role; all it needs is a passion to grow. Any individual who takes the data science course will gain a deeper understanding of the nuances and essential business considerations unique to that industry and become a certified Data Scientist. As recruiters increasingly seek domain-specific data scientists, it is crucial to select courses that offer domain electives.
Our advanced data science training covers domains in almost all sectors, including HR, Sales, Marketing etc. Generally, the following individuals are good candidates for a data science course:
Graduates or undergraduates with a background in statistics, computer science, mathematics, or engineering.
Professionals with a background in IT, software development, or database management who want to expand their skills.
Business professionals who want to improve their decision-making skills and leverage
data to drive
business growth.
Aspiring data analysts or data scientists who want to gain hands-on experience with the latest data science tools and techniques.
Individuals with a curious mindset who want to learn more about data analysis and its real-world applications.
Our Course Curriculum (Syllabus)
Data science involves a variety of languages and tools that are used for different tasks, such as data collection, cleaning, analysis, and visualization. Our Curriculum includes
- Instroduction to Python
- Type Casting and Strings
- Operators and Conditional Statements
- Loops in Python
- Functions (Inbuilt & User Defined)
- Data Structures
- Fundamentals of Classes
- File Handling
- Exception Handling
- REGEX
- NUMPY
- PANDAS
- Matplotlib & Seaborn
- Exploratory Data Analysis
- Case Studies
- Vectors
- Matrices
- Linear Equation
- Vector Norms Calculus
- Central Tendency
- Sample Vs Population
- Probability
- Types Of Distribution
- Central Limit Theorem
- Hypothesis Testing
- Types Of Test
- Anova Test
- Skewness & Kurtosis
- Case Study
- Feature Selection
- Feature Engineering
- Simple Linear Regression
- Multiple Linear Regression
- Advanced Regression
- Logistic Regression
- Dimension Reduction Using PCA
- K-nearest Neighbor Algorithm
- Decision Tree
- Naive Bayes
- Ensemble Ml Algorithm- Bagging
- Ensemble Ml Algorithm- Boosting
- Clustering
- Support Vector Machine
- Arrays
- Algorithms
- Linked List
- Stacks And Queues
- Recursion
- Trees
- Graphs
- Dynamic Programming
- Designing Nlp Algorithms
- Tableau Introduction
- Different Types Of Plots
- Data Types And Filters In Tableau
- Applying Analytics To Tableau
- Dashboard
- Neural Network Module
- Computer Vision Module
- Nlp Module
- Time Series Module
- Crud Operations
- Group Function
- Join Queries
- Sub Queries & Other
- Functions
- Table Constraints
- Advanced Queries On University Schema
- Cursors Method
- Views In Sql
- Transactions
- Windows Function CTE
- String Transformation And Regex
- Date Time Manipulation
- Data Modeling
- Sql Practice Set On Sports Club Schema
- Sql Practice Set On Hackerank Problems
- Sql Practice Set On Company Schema
- Stored Procedures
- Quantitative Aptitude
- Logical Aptitude
- Verbal Aptitude
