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Data Science

Data Science is one of the fastest-growing and most sought-after fields in the tech industry. It combines various skills from statistics, data analysis, programming, and machine learning to extract meaningful insights from data, enabling businesses to make informed decisions. At Growup Technologies, we offer an industry-leading Data Science course designed to equip you with the essential skills required to succeed in this exciting field.

Whether you’re a beginner or looking to enhance your skills, our Data Science training program is structured to provide hands-on experience and real-time learning. This course is ideal for freshers, professionals looking to switch to data science roles, and individuals seeking to upgrade their existing knowledge.

 

Why Choose Growup Technologies for Data Science Training?

Comprehensive Data Science Curriculum

Our Data Science course at Growup Technologies covers all aspects of the data science pipeline, from data collection and cleaning to modeling and deployment. The course is designed with a balance of theory and practical application, ensuring that students are job ready by the time they complete the program.

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Experienced Trainers

At Growup Technologies, we believe that great training comes from experienced professionals. Our instructors are industry experts with years of hands-on experience in data science and related fields. They will guide you through every step with real-life examples and case studies.

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Hands-on Experience

We offer real-time projects that simulate actual data science challenges faced by organizations. Working on these projects allows you to apply what you’ve learned in a practical setting, making you more prepared for job interviews and real-world applications.

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100% Placement Assistance

Growup Technologies offers 100% placement support to all students. We help you with resume building, interview preparation, and mock interviews. Our placement cell has strong ties with leading IT and tech companies, ensuring that you are connected with the right opportunities.

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Flexible Learning Options

At Growup Technologies, we offer both online and offline learning modes, allowing you to choose the best option based on your learning style and schedule.

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AWS Course Highlights

Course Duration

1 months (Flexible based on student pace)

Mode of Training

Online and Offline

 

Training Format

Theory + Hands-on Projects + Case Studies

Course Level

Beginner to Advanced

 

 

Trainer’s Expertise

Data Science Certified Trainers with real-world experience in deploying and
managing cloud infrastructure

Placement Assistance

100% Job Placement Support, including resume preparation, mock interviews, and job interviews

Data Science Training Syllabus at Growup Technologies

Our Data Science course at Growup Technologies covers all aspects of the data science pipeline, from data collection and cleaning to modeling and deployment. The course is designed with a balance of theory and practical application, ensuring that students are job ready by the time they complete the program.

  1. Understanding Data Science: Definition, scope, and applications
  2. Introduction to Data Science lifecycle
     Tools and technologies used in Data Science (Python, R, SQL, etc.)
  3. The role of a Data Scientist in an organization
  1. Python Basics: Variables, Data Types, Loops, Functions
  2. Python Libraries: Pandas, NumPy, Matplotlib, Seaborn
  3. Working with DataFrames and Series in Pandas
  4. Data manipulation and transformation using Python
  5. Data visualization using Python

 

  1. Data Collection and Data Acquisition
  2. Handling Missing Data: Imputation methods, Dropping rows/columns
  3. Dealing with Outliers: Techniques for identifying and treating outliers
  4. Feature Scaling: Normalization vs Standardization
  5. Feature Encoding: Label Encoding, One-Hot Encoding
  6. Data Transformation Techniques: Log transformation, Handling categorical variables

 

  1. Introduction to EDA
  2. Univariate and Multivariate Analysis
  3. Visualizing Data using Graphs and Plots (Histograms, Boxplots, Scatter plots, etc.)
  4. Identifying Patterns and Trends in Data
  5. Hypothesis Generation through Data Exploration
  1. Descriptive Statistics: Mean, Median, Mode, Standard Deviation
  2. Probability Theory and Probability Distributions
  3. Inferential Statistics: Confidence Intervals and Hypothesis Testing
  4. P-value, Z-tests, T-tests, Chi-square tests
  5. Correlation and Causation: Pearson’s and Spearman’s correlation
  1. Introduction to Machine Learning: Types of Machine Learning
  2. Supervised Learning: Linear Regression, Logistic Regression
  3. Unsupervised Learning: Clustering Algorithms (K-Means, Hierarchical)
  4. Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
  5. Model Validation Techniques: Cross-validation, Bias-Variance Trade-off
  1. Ensemble Methods: Random Forest, Gradient Boosting, AdaBoost
  2. Support Vector Machines (SVM)
  3. Dimensionality Reduction: Principal Component Analysis (PCA)
  4. Hyperparameter Tuning and Model Optimization
  5. Advanced Regression Techniques: Lasso, Ridge, Elastic Net
  1. AWS Cost Explorer: Tracking and managing AWS usage and costs
  2. AWS Budgets: Setting up cost limits and alarms
  3. AWS Pricing Models: Pay-as-you-go, Reserved Instances, and Spot Instances
  1. Introduction to Neural Networks
  2. Understanding Activation Functions: Sigmoid, ReLU, Tanh
  3. Training Neural Networks: Backpropagation, Gradient Descent
  4. Basics of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN)
  5. Applications of Deep Learning in Image Processing, NLP, and Time Series Data
  1. Introduction to Big Data and Distributed Computing
  2. Hadoop Ecosystem: HDFS, MapReduce
  3. Apache Spark: RDDs, DataFrames, Spark SQL
  4. Data Processing with Spark: Handling large-scale data
  5. Real-time Data Processing: Stream Processing with Spark Streaming
  1. Introduction to Cloud Computing
  2. Cloud Platforms: AWS, Google Cloud, Microsoft Azure
  3. Using Cloud Storage (S3, Google Cloud Storage)
  4. Data Processing with Cloud Services (AWS Lambda, BigQuery, etc.)
  5. Deploying Machine Learning Models on the Cloud
  1. Working on a Real-time Data Science Project
  2. Understanding Business Problems and Solutions through Data Science
  3. Building Models and Evaluating their Performance
  4. Deploying Models into Production (Using Flask/Django for Deployment)
  5. Final Project Presentation and Evaluation

Real-Time Projects and Case Studies

The career opportunities for a skilled data scientist are vast and varied. After completing the
Data Science course at Growup Technologies, you can explore the following roles:

Career opportunities after a Data Science course include:

100% Placement Support

At Growup Technologies, we ensure that all our Data Science students are prepared to succeed in their job search. Here’s how we assist our students with placement:

Why Data Science Certification Matters

A Data Science certification is highly valued in the tech industry, showcasing your expertise in data analysis, machine learning, and statistical modeling. Earning a certification demonstrates your ability to work with large datasets, build predictive models, and derive meaningful insights. It enhances your resume, boosts credibility, and increases job opportunities in the rapidly growing field of data science.

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Why Growup Technologies is Your Ideal Data Science Training Partner

  1. Experienced Trainers: Our trainers are Data Science-certified professionals with years of industry experience.
  2. Hands-on Projects: You’ll work on live projects that help you gain practical knowledge of Data Science tools and services.
  3. Flexible Learning Options: Choose between online or offline classes based on your schedule.
  4. 100% Placement Support: Get all the guidance you need to land your first job in Data Science.

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How to Enroll?

To enroll in the Data Science Certification Course at Growup Technologies, follow these simple steps:

📌 Visit Our Center: 2nd floor, No.266, Velachery Rd, next to Jolen Hospital, Durga Colony, Sembakkam, Chennai, Tamil Nadu 600073.

📞 Reach us at 9363860869 for more details.

📩 Online Enrollment: You can also register online by filling out the enrollment form on our website.

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+91 93638 60869

Email

Growup@growuptech.in