Course Overview
Data Science Course in Hyderabad
Overview of Data Science Training Course in Hyderabad
At DigitalGurus, we present one of the most comprehensive data science courses in Hyderabad, tailored to meet the needs of aspiring data scientists and professionals seeking to enhance their skills in this rapidly evolving field. Our course provides an in-depth exploration of data science concepts, tools, and techniques, equipping you with the practical abilities needed to analyze complex datasets and drive data-driven decision-making.
Our data science institute, strategically located in prime areas of Hyderabad, including Ameerpet, boasts state-of-the-art facilities and expert instructors with years of experience in the data science industry. Our curriculum is continuously updated to reflect the latest trends and technologies, ensuring you receive the most relevant and cutting-edge education possible.
What are the skills required for Data Science Training for a student?
The data science training in Hyderabad offered by DigitalGurus is designed for individuals from various backgrounds. While having a basic understanding of mathematics, statistics, and programming can be beneficial, our course starts with foundational concepts, making it accessible even to beginners.
Key skills that will be developed during the course include:
Statistical Analysis
Learn how to interpret and manipulate data using statistical methods to extract meaningful insights.
Programming in Python/R
Gain proficiency in programming languages like Python and R, which are widely used in data science for data manipulation and analysis.
Machine Learning
Understand the principles of machine learning and how to apply algorithms to predict outcomes and automate decision-making.
Data Visualization
Master tools like Tableau and Power BI to create visual representations of data that communicate insights effectively.
Big Data Technologies
Get hands-on experience with big data tools like Hadoop and Spark to handle large datasets.
Who is eligible to do the Data Science Course?
The data science course in Hyderabad is suitable for:
Aspiring Data Scientists
Individuals who want to build a career in data science and are eager to learn the necessary skills.
Working Professionals
IT professionals, engineers, and business analysts looking to transition into data science roles or enhance their data analysis skills.
Students and Graduates
Recent graduates in fields such as computer science, engineering, mathematics, and economics who wish to enter the data science industry.
Entrepreneurs
Business owners who want to leverage data to make informed decisions and improve business outcomes.
No prior experience in data science is required to enrol in this course, making it accessible to anyone with an interest in data analysis.
What are the highlights of doing a Data Science Training Course with DigitalGurus?
Choosing DigitalGurus for your data science course in Hyderabad offers several advantages:
Expert Faculty
Our instructors are seasoned data science professionals with extensive experience in the industry. They provide insights that are both practical and actionable.
Industry-Relevant Curriculum
The course content is regularly updated to include the latest tools, technologies, and methodologies used in the field of data science.
Hands-on Projects
students work on real-world data science projects, applying what they’ve learned to solve actual business problems.
Personalized Learning Experience
With small class sizes, we ensure that every student receives personalized attention and guidance.
Cutting-Edge Facilities
Our training centers, including our data science institute in Ameerpet, are equipped with the latest technology to provide an immersive learning experience.
Flexible Learning Options
We offer various learning modes, including weekday, weekend, and online batches, to accommodate different schedules.
What is the duration of the Data Science Course in Hyderabad?
The data science course in Hyderabad is structured to run over a period of 12 to 16 weeks, depending on the batch you choose. This allows ample time for students to grasp both theoretical concepts and practical applications. During the course, students will engage in a mix of lectures, hands-on labs, group discussions, and project work. This comprehensive approach ensures that by the end of the course, students are well-prepared to take on data science roles in any industry.
What are the career opportunities after completion of a Data Science Training Course in Hyderabad?
The demand for data science professionals is on the rise, and completing the data science course in Hyderabad from DigitalGurus opens up a wide array of career opportunities, including:
Data Scientist
Analyze large datasets to extract insights and help organizations make informed decisions.
Data Analyst
Focus on analyzing data and creating reports that assist in business decision-making.
Machine Learning Engineer
Develop and implement machine learning models to automate data-driven processes.
Business Intelligence Analyst
Use data to provide actionable insights that help businesses improve their strategies and operations.
Data Engineer
Design and maintain data pipelines that collect, store, and process large amounts of data.With the skills you acquire from this course, you will be well-equipped to pursue a rewarding career in data science, whether you’re just starting out or looking to advance in your current role.
What is the placement assistance program for the Data Science Course at DigitalGurus?
At DigitalGurus, we are committed to ensuring our students’ success beyond the classroom. Our placement assistance program for the data science course in Hyderabad includes:
Resume Building Workshops
Learn how to craft a resume that highlights your data science skills and experiences effectively.
Interview Preparation
Participate in mock interviews conducted by industry experts to prepare for real-world job interviews.
Job Alerts
Get regular updates on job openings relevant to your skills and interests in the field of data science.
Career Counseling
Receive personalized career guidance to help you choose the best career path based on your goals and strengths.
Our strong ties with industry partners also provide our students with opportunities to be referred to top companies looking for skilled data science professionals.
Frequently Asked Questions
What are the certifications that one would receive after completion of a Data Science Course?
Upon successful completion of the data science training course in Hyderabad, you will receive a certification from DigitalGurus. This certification is recognized in the industry and serves as a testament to your proficiency in data science, significantly enhancing your resume.
Do you have demo classes arranged before the start of the course?
Yes, we offer demo classes to prospective students. These demo sessions allow you to experience our teaching methodology and course content firsthand, helping you make an informed decision about enrolling in the data science course in Hyderabad.
How many batches can I attend during the duration of the Data Science course?
At DigitalGurus, we understand that mastering data science takes time and practice. We allow students to attend multiple batches during the course duration at no extra cost. This flexibility ensures that you can revisit complex topics and reinforce your learning by attending different sessions.
What is the outcome of this Data Science course?
By the end of the data science course in Hyderabad, you will have:
- A solid understanding of data science concepts, tools, and techniques.
- Hands-on experience with key data science tools like Python, R, Hadoop, and Tableau.
- The ability to analyze and interpret complex datasets to drive business decisions.
- Experience in building and deploying machine learning models.
- A comprehensive portfolio of data science projects to showcase to potential employers.
What are different modes of training provided?
We offer a variety of training modes to cater to different learning preferences:
Classroom Training
Attend in-person classes at our Hyderabad centers, including Ameerpet.
Online Training
Participate in live, instructor-led sessions from anywhere in the world.
Weekend Batches
Ideal for working professionals who can’t attend weekday sessions.
Customized Corporate Training
Tailored training programs designed for corporate teams based on specific business needs.
What are different modes of payment for the fees?
We provide several payment options for the course fees, including:
Credit/Debit Cards
We accept all major credit and debit cards.
Bank Transfers
Direct bank transfers are available for easy payment.
Installment Plans
We offer flexible instalment plans to make the course more affordable.
Digital Wallets
Payments can be made via popular digital wallets like Paytm and Google Pay.
Whether workshops and webinars would be conducted during the Data Science course?
Yes, we conduct regular workshops and webinars as part of our data science training in Hyderabad. These sessions cover advanced topics, emerging trends, and case studies in data science. Participation in these events provides valuable insights and opportunities to network with industry experts.
Do we have demos before the start of the course?
Yes, DigitalGurus offers demo sessions that allow you to preview the course content and teaching methods. These demos are designed to help you understand what to expect from the data science course in Hyderabad before making a commitment.
Whom to contact or reach out for getting admission into the course?
For admissions or any inquiries related to the Amazon FBA course in Hyderabad, you can reach out to our admissions team at:
- Phone: 72079 82624 , 78426 80296
- Email: reachdigitalgurus@gmail.com
- Office: Visit our training centres in Hyderabad, including our popular Ameerpet location.
Our team is always ready to assist you with any queries or concerns you might have.
Do you provide any internship once the course is done and it is for how many months?
Yes, we offer internship opportunities for students who complete the data science course in Hyderabad. These internships typically last for 3 to 6 months and provide hands-on experience in data science projects, helping you apply the knowledge you’ve gained in a real-world setting.
For how many months the recordings of the classes of the Data Science course will be available?
We provide access to class recordings for up to 6 months after the course completion. This allows you to review the material at your own pace and reinforce your learning as needed.
How many years of experience does the faculty have?
Our faculty members are seasoned professionals with an average of 10 to 15 years of experience in data science and related fields. Their industry experience and expertise ensure that you receive top-notch education and practical insights throughout the course.
How much is the duration of the Data Science course?
The data science course in Hyderabad typically runs for 12 to 16 weeks, with flexible scheduling options to accommodate different learning needs. The course includes theoretical lessons, practical sessions, project work, and assessments to ensure comprehensive learning.
What is the average salary of a Data Scientist?
The average salary of a data science expert in India ranges from ₹6 lakhs to ₹20 lakhs per annum, depending on experience, expertise, and the specific role. With the growing demand for data science skills, professionals in this field can expect competitive salaries and excellent career growth opportunities.
Curriculum
Module 1: Introduction to Data Science
- Overview of Data Science
- Applications and Lifecycle of Data Science
- Big Data and Hadoop Introduction
- Machine Learning and Deep Learning Overview
- Introduction to R Programming and R Studio
- Hands-on Exercise: Installing R Studio and performing basic operations
Module 2: Data Exploration
- Introduction to Data Exploration Techniques
- Importing/Exporting Data, Working with Dataframes
- Accessing Elements: Vectors, Factors, Matrices, Lists, Arrays in R
- Hands-on Exercise: Exploring and modifying customer churn data
Module 3: Data Manipulation
- Introduction to Data Manipulation and the dplyr Package
- Functions: select(), filter(), mutate(), sample_n(), summarise(), SQL-like operations
- Hands-on Exercise: Data Manipulation using dplyr
Module 4: Data Visualization
- Introduction to Data Visualization Techniques
- ggplot2 for Categorical and Numerical Data Visualization
- Types of Graphs: Bar, Histogram, Scatter Plot, Box Plot, etc.
- Visualizations with Plotly, ShinyR, ggvis
- Hands-on Exercise: Visualizing customer churn data with ggplot2 and Plotly
Module 5: Introduction to Statistics
- Importance of Statistics in Data Science
- Types of Data, Measures of Central Tendency, Spread, Correlation, and Covariance
- Statistical Methods: Normal Distribution, Probability, Hypothesis Testing, Chi-Square, ANOVA
- Hands-on Exercise: Building a statistical analysis model
Module 6: Machine Learning
- Overview of Machine Learning Concepts
- Linear Regression: Simple and Multiple Regression, Residual Diagnostics
- Logistic Regression: Binary Logistic Regression, Confusion Matrix, Accuracy
- Hands-on Exercise: Implementing Linear and Logistic Regression Models
Module 7: Logistic Regression
- In-depth Explanation of Logistic Regression
- Math Behind Logistic Regression: Logit Function, Odds, ROC Plot, Cross-validation
- Hands-on Exercise: Building and evaluating Logistic Regression Model
Module 8: Decision Trees & Random Forest
- Decision Tree Induction Algorithm, Classification vs Regression Trees
- Random Forest: Building and Tuning Models, Bagging, and Pruning
- Naive Bayes Overview
- Hands-on Exercise: Implementing Decision Trees and Random Forest
Module 9: Unsupervised Learning
- Clustering Techniques: K-Means, Hierarchical Clustering, PCA
- K-Means Clustering: Process, R Implementation
- Hands-on Exercise: Implementing Unsupervised Learning using Clustering Algorithms
Module 10: Association Rule Mining & Recommendation Engine
- Association Rule Mining: Support, Confidence, Lift, Apriori Algorithm
- Recommendation Engine: User-based and Item-based Collaborative Filtering
- Hands-on Exercise: Implementing Association Rule Mining and Recommendation Systems
Module 11: Introduction to Artificial Intelligence (self-paced)
- Introduction to AI and Deep Learning Concepts
- Artificial Neural Networks (ANN), TensorFlow Framework
- Building ANN Models using TensorFlow in R
Module 12: Time Series Analysis (self-paced)
- Time Series Components, Moving Average, Smoothing Techniques
- ARIMA Models, Time Series Forecasting in R
- Sentiment and Text Analysis in R
- Hands-on Exercise: Analyzing Time Series Data for Forecasting
Module 13: Support Vector Machine (SVM) (self-paced)
- Introduction to SVM and Data Classification Techniques
- Linear SVM for Margin Hyperplane Identification
- Hands-on Exercise: Building an SVM Model for Classification Tasks
Module 14: Naïve Bayes (self-paced)
- Understanding Bayes Theorem, Naïve Bayes Classifier
- Building Probabilistic Models with Scikit-learn
- Hands-on Exercise: Implementing Naïve Bayes for Classification
Module 15: Text Mining (self-paced)
- Text Mining Concepts, Algorithms, and Use Cases
- TF-IDF for Text Analysis
- Text Manipulation Using tm and stringR Libraries
- Hands-on Exercise: Text Mining for Customer Feedback or Product Reviews
Module 16: Case Study
- Real-world Market Basket Analysis with Apriori Algorithm
- Analyzing Data for Associations and Recommendations
- Hands-on Exercise: Implementing Market Basket Analysis using R
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