Data Science Course in Hyderabad
Learn Data Science Course in Hyderabad with hands-on experience from expert mentors. Join & become an expert in Data Science.
continuous learning
- Core Python
- Data Types
- If - else statements
- Loops: for, while
- Functions
- Statistics
- Population and Samples
- Measures of Central Tendencies
- Measures of Dispersion
- Distribution
- Hypothesis Testing
- Python Libraries
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Exploratory Data Analytics
- Regression
- Simple Linear Regression
- Multiple Linear Regression
- Model Evaluation
- Classification
- K-Nearest Neighobors (KNN)
- Decision Tree
- Random Forest Algorithm
- Naïve Bayes
- Anomaly Detection
- Support Vector Machine (SVM)
- Clustering
- Hierarchical Clustering
- K-Means Clustering
- DBSCAN
- Principal Component Analysis(PCA)
- Forecasting
- Introduction to Time Series
- Components of Time Series
- ACF, PCF
- Naive Forecast Method
- ARIMA Model
- Artificial Neural Networks
- Introduction to neural networks
- Mathematical Neuron
- Activation Functions, layers of neuron, Bias
- Back Propagation
- Gradient Descent
- Natural Language Processing
- Text Processing
- Tokenization
- Stemming/Lemetization
- Word2Vec
- Sentiment Analysis
- Text Classification
- Recurrent Neural Networks (RNN)
- Long Short Term Memory (LSTM)
- SQL
- Introduction to RDBMS
- Fetch API
- Primary and Foreign Keys
- Select Queries
- SQL Joins
- CTE
- Window Functions
- Procedures
- EXCEL
- Introduction to Excel
- Excel Formulas
- Range and Table
- Pivot tables
- Charts and Visualization
- Power BI
- Power Query
- Dax Equations
- Visualization
- Dashboard Building
Process of Careerpedia
From enrolment to placement, our streamlined process ensures a smooth journey toward your academic and career goals
Demo Section
Students will be given a brief outlook of their respective courses. In this particular session students will get to know what kind of software's they are going to use, How training sessions are going to be conducted, How they are going to evaluate themselves going further.
- Students will be given a brief outlook of their respective courses.
- In this particular session students will get to know what kind of software they are going to use.
- How training sessions are going to be conducted.
- How they are going to evaluate themselves in future.
Onboarding
- Orienting new students to the organization. It encompasses all activities and procedures that help new students become more productive.
- Here students will be given access to the necessary tools, software's, resources required for the training.
- Students will engage with their respective mentors.
Orienting new students to the organization. It encompasses all activities and procedures that help new students become more productive Here students will be given access to the necessary tools, software's, resources required for the training, Students will engage with their respective mentors.
Learning
- Mentors will observe the students during class activities, discussions, understanding and active participation in the tasks.
- Mentors will help in achieving academic success and also share continuous feedback.
- Mentors also provide guidance, support and advice to less experienced students.
Mentors will observe the students during class activities, discussions, understanding and active participation in the tasks. Mentors will help in achieving academic success also shares continuous feedback.
Test Assignment
- The test will be conducted weekly once on their respective courses.
- It can help students to identify their strengths and weaknesses so they can focus on areas that need improvement.
- Successfully completing tasks and achieving good grades will boost students' confidence.
The test will be conducted weekly once on their respective courses, it can help students to identify their strengths and weaknesses so they can focus on areas that need improvement.
Communication Club
- Communication Club will be taken daily for the students.
- Students will receive their respective scores and suggestions.
- It will help students for active participation in the real time interviews.
Communication Club will be taken daily for the students. Students will receive their respective score and suggestions.
Mock Interviews
- Mock Interviews will be taken every Friday.
- It helps you to develop interview strategies, enhance your communication skills, and ease the nerves that many experience before an actual job interview.
- Mock interviews may be conducted by professionals or recruiters in the field.
Mock Interviews will be taken on every Friday. It helps you to develop interview strategies, enhance your communication skills, and ease the nerves that many experiences before an actual job interview.
Profile Building
- Portfolio, Resume & LinkedIn profile building
After completing the 70% of course. Mentors will assist the students on profile building like, Portfolio, Resume and LinkedIn profile.
Job Portal
- After completion of profile building, the job portal access will be given to students.
- It simplifies the job search process.
- The job assistance will be up-to one year.
After completion of profile building, the job portal access will be give to students. It simplify the job search process, The job assistance will be up to one year.
Certification
Careerpedia certifications offer global recognition and access.
Enroll for collaboration and networking opportunities at Careerpedia
Connect with professionals, instructors, and peers at Careerpedia.
What Students Says about Careerpedia
Testimonials
Join the Careerpedia community and dive into the engaging testimonials from our students, as they offer valuable insights and experiences.
Vamshi
Full Stack Developer
Jadhav Pranay Singh
UIUX Developer
B Venkaiahnaidu
Frontend Developer
Abhishek Maddala
UIUX Developer
Yugender Senkepally
UIUX Developer
Kalyan
UIUX Designer
Devendar Reddy
UIUX Designer
Vijaya Sree
Frontend Developer
Overview of data science course in Hyderabad
A data science course typically provides instructions on the fundamental concepts, techniques, and tools used in the field of data science. Data science encompasses various disciplines such as statistics, mathematics, computer science, and domain expertise, all aimed at extracting insights and knowledge from data.
Data science course and its applications
Data Analysis & visualization
Machine learning fundamentals
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques, including essential data science skills, to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientifically and helping businesses operate more effectively. Data virtualization is a method of managing data that enables an application to access and modify data without the need for technical information about the data, such as its physical location or format at the source. It also offers a single customer view (or a single view of any other entity) of the entire data set.
The study of statistical algorithms that can learn from data and generalize to new Data that is, complete tasks without explicit instructions, is known as machine learning. It is a subfield of artificial intelligence research. Artificial neural networks have recently been able to outperform several earlier method
Python
SQL
Matplotlib
Numpy
Excel
Power BI
Tableau
Free demo class is available
Course Certification
Industry expert faculty
Industry leading curriculum
Strong placement record
Real Time projects
Limited students Batch
Resume building
Weekly Mock interviews
In one of the developing tech hubs of India, Hyderabad, taking a data science course in Hyderabad has many advantages. Data science experts have several work options in Hyderabad, which is home to several startups and global companies with a flourishing IT sector. These courses provide students with the knowledge and abilities that businesses in Hyderabad and beyond are looking for, as they frequently include industry-relevant content that is specifically geared to the local employment market. The city is also a desirable destination for students looking for a cheap, high-quality education because of its reduced cost of living when compared to other innovation clusters. An abundance of networking options, including industry events, meetings, and partnerships with top IT businesses, improves students' chances of landing a job in the fast-paced data science sector.
Students with any degree, like B.tech, B.com, BSC, BBA, etc., are eligible for the data science course in Hyderabad. Students from all computer science and non-computer science backgrounds can join the course.