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Data Science Training In Mumbai
Classroom • Live Online • Hybrid
Learn data science through practical projects, real business case studies, and expert mentorship at 3RI Technologies. This Data Science course in Mumbai helps you master analytics, machine learning, and Gen AI tools to become an industry-ready Data Science professional.
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Key Features
Course Duration : 8 Weeks
Live Projects : 1
Online Live Training
EMI Option Available
Certification & Job Assistance
24 x 7 Lifetime Support
Our Industry Expert Trainer
We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.
Overview of Data Science Training Course in Mumbai
Overview of this Data Science course in Mumbai
Are you looking to build a successful career in data science? Look no further than our data science training in Mumbai at 3RI Technologies. Our specialized course is designed to equip you with the most relevant skills and tools in the data science field, including machine learning, data visualization, Python programming, and more. Whether you’re a beginner or an experienced professional, our course adapts to your learning pace and needs, helping you to master the fundamentals and advanced concepts of data science.
Our data science certification course in Mumbai is perfect for individuals looking to enhance their career prospects in this high-demand industry. With expert instructors, industry-relevant curriculum, and hands-on projects, you’ll gain the skills needed to analyze and interpret complex data, enabling you to make data-driven decisions that drive business success.
At 3RI Technologies, we emphasize practical learning to ensure you gain real-world experience. You’ll have access to cutting-edge tools and datasets, making you ready to solve actual business challenges. Join us today and take the first step towards becoming a certified data scientist with the best data science training in Mumbai.
Why From 3RI Technologies?
3RI Technologies is the Best Data Science Training Institute in Mumbai, providing Data Science Courses that are focused on real-world scenarios. Data Science Training In Mumbai assists you acquire confidence and expertise in your career by delivering real-world technological solutions. Our Data Science Course in Mumbai content is produced by Data Science experts and updated regularly by the industry, ensuring that you are well-versed and proficient in Data Science.
3RI Technologies Data Science Training in Mumbai provides Online and Classroom training, as well as corporate (on-site) training. You may learn at your own pace online with the help of one–on–one training. 3RI Technologies Data Science Training in Mumbai will assist you in becoming a more successful Data Scientist or Data Analyst, AI Expert, ML Expert whether you are just starting or need to improve your skills in Data science technology.
Individuals would need a basic foundation of basic mathematics and statistics knowledge to get started with Data Science before enrolling in Data Science Classes In Mumbai. Our training experts have put together a thorough course on Apache Hadoop Framework, Python, R, Machine Learning, MongoDB and Cassandra DB, and other data tools and technologies. Data Science courses in Mumbai include case studies and real-world projects. Besides, our Data Scientist Course in Mumbai also includes strategies that will prepare you to acquire and analyze data, as well as the analysis expertise required when identifying a solution for businesses based on sectors, applications, and company size.
As the need for Big Data skills and technology rises, a career in Data Science is getting increasingly demanding. For anybody looking to grow in their profession, mastering and becoming competent in essential abilities is a key benefit of our Data Science Course in Mumbai. In our Data Science Course in Mumbai, you will learn Data Science Technologies and Business Intelligence tools, as well as the confidence to collect adequate and relevant data and expertise in Data Science and use them effectively and successfully in the workplace. Our Data Science course fees in Mumbai are affordable, and our Data Science course content covers all concepts, assisting you in becoming an expert in data science tools and technologies as well as acquiring the certification exam concepts.
Data Science certified is in high demand, with an Average Salary in India of 6,98 LPA. Data Science Certification Cost In Mumbai is significantly more affordable, quick, and effective than other certifications. After completing the Data Science Training in Mumbai, which includes mock certification examinations to familiarize you with the certification exam standards, you may begin your career as a Certified Data Science Data Scientist Artificial Intelligence (AI) Expert, Machine Learning (ML) Expert.
Benefits of Data Science Course In Mumbai
- Best practices of Data Science Technologies and Business Intelligence tools are discussed.
- Mastering Data Science Technologies and Business Intelligence tools, as well as how to host and manage them.
- With Data Science, you can show off your skills to potential employers.
- Those with Data Science training earn a greater Average annual income than their non-certified colleagues.
- Individuals wanting to advance their careers in Data Science will have additional career opportunities with Data Science certifications.
- Get a greater chance of being promoted in your present job position.
Reasons To Choose Data Science Course in Mumbai from 3RI Technologies
- Best Data Science Training in Mumbai with placement assistanceÂ
- Get the appropriate Data Science training in obtaining high-paying Data Science positions.Â
- Trainer Expert Data Science lecturers with real-world expertise in Data Science tools and best practices.
- Effective Data Science Resume writing assistance
- Â Profile setup support and assistance – LinkedIn, GitHub, and other similar social networking sitesÂ
- Data Science Training in Mumbai would benefit both fresh graduates and professionals
- Affordable Course Fees
- Access course materials for Data Science Â
- 24/7 Lab sessions
- Option to enroll in both Classroom and Online training- batches having weekdays and weekends.
- Practical live sessions and sample mock tests and for Data Science Certification examsÂ
The following is a list of the appropriate audience for taking a Data Science Course in Mumbai:
- Software Developers
- Database Administrators
- Data Security Consultants
- Data Engineers
- Business Consultants
- Business Analysts
- Cloud Developers
- Anyone interested in a Data Science profession.
- Anyone interested in becoming a Data Scientist or Data Analyst.
- Experts that want to pass their Data Science Certification exams.
- Fresher
- Graduates, Post Graduates, MCA, BCA, BSc(IT)
Course Demand & Future Scope
Data Scientist is one of the most promising jobs in 2021, according to Glassdoor and LinkedIn, and therefore one of the most in-demand careers with a high salary and perks. Due to a lack of qualified individuals anticipated to fill expanded positions and diverse Data Science-related abilities and competencies being the most in-demand by organizations, there is currently a growing need for data science experts across all sectors, large and small. According to the research findings, young competent Data Scientists, Artificial Intelligence (AI) Experts, Machine Learning (ML) Expert will be in great demand in the foreseeable future.
To become a Data Scientist, you must be able to discover relevant data, gather data from a variety of sources, organize it, convert results into business solutions, and effectively communicate data findings to improve business choices. Fresh graduates and professionals are enrolling in Data Science courses because Certified Data Scientists are in high demand in nearly every industry, and Data Science Courses In Mumbai are in high demand.
Data science is one of the most interesting and in-demand career opportunities for competent young graduates and professionals. To become a data scientist, today’s Data Scientists recognize that they must continually broaden their horizons beyond traditional competencies, such as by enhancing their skills in large-scale Data Mining, Data Analysis, and coding. To maximize project benefits and discover critical insights for the organizations and clients with whom they work, competent Fresh graduates and professionals must also be well-versed in all elements of Data Science and exhibit a degree of competence.
Data Science, Artificial Intelligence (AI) Expert, Machine Learning (ML) Expert will be in great demand today and in the future, because there aren’t enough Certified Data Science professionals to meet demand. You will be able to enhance your career while perhaps starting a new one in Data Science with an IBM Data Science Professional Certification or Amazon AWS Big Data Certification. You would be in great demand if you take Data Science Training in Mumbai since you will be a Data Science expert among other competitors. Companies are seeking Data Science Certified Professionals and will compensate you based on your salary expectations.
If you are willing to pursue a career in Data Science, now is the time to enroll in 3RI Technologies Data Science Course In Mumbai if you want to stand out and get hired by MNCs.
Skills Required
- No Prerequisites for Data Science certification training
- Basic knowledge of SQL is advantageous
Certifications
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24x7 Support and Access
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40 to 50 Hour Course Duration
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Data Science Course Syllabus
Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers
Module 1: Fundamentals of Statistics & Data Science
- Fundamentals of Data Science and Machine Learning
- Introduction to Data Science
- Need of Data Science
- BigData and Data Science’
- Data Science and machine learning
- Data Science Life Cycle
- Data Science Platform
- Data Science Use Cases
- Skill Required for Data Science
- Mathematics For Data Science
- Linear Algebra
- Vectors
- Matrices
- Optimization
- Theory Of optimization
- Gradients Descent
- Introduction to Statistics
- Descriptive vs. Inferential Statistics
- Types of data
- Measures of central tendency and dispersion
- Hypothesis & inferences
- Hypothesis Testing
- Confidence Interval
- Central Limit Theorem
- Probability and Probability Distributions
- Probability Theory
- Conditional Probability
- Data Distribution
- Distribution Functions
- Normal Distribution
- Binomial Distribution
Module 2: Python for Data Science
- An Introduction to Python
- Why Python , its Unique Feature and where to use it?
- Python environment Setup/shell
- Installing Anaconda
- Understanding the Jupyter notebook
- Python Identifiers, Keywords
- Discussion about installed module s and packages
- Conditional Statement ,Loops and File Handling
- Python Data Types and Variable
- Condition and Loops in Python
- Decorators
- Python Modules & Packages
- Python Files and Directories manipulations
- Use various files and directory functions for OS operations
- Python Core Objects and Functions
- Built in modules (Library Functions)
- Numeric and Math’s Module
- String/List/Dictionaries/Tuple
- Complex Data structures in Python
- Python built in function
- Python user defined functions
4. Introduction to NumPy
- Array Operations
- Arrays Functions
- Array Mathematics
- Array Manipulation
- Array I/O
- Importing Files with Numpy
5. Data Manipulation with Pandas
- Data Frames
- I/O
- Selection in DFs
- Retrieving in DFs
- Applying Functions
- Reshaping the DFs – Pivot
- Combining DFs
Merge
Join - Data AlignmentÂ
6. SciPy
- Matrices Operations
- Create matrices
Inverse, Transpose, Trace,  Norms , Rank etc - Matrices Decomposition
Eigen Values & vectors
SVDs
7. MatPlotLib & Seaborn
- Basics of Plotting
- Plots Generation
- Customization
- Store Plots
8. SciKit Learn
- Basics
- Data Loading
- Train/Test Data generation
- Preprocessing
- Generate Model
- Evaluate Models
9. Descriptive Statistics
. Data understanding
- Observations, variables, and data matrices
- Types of variables
- Measures of Central Tendency
- Arithmetic Mean / Average
- Merits & Demerits of Arithmetic Mean and Mode
- Merits & Demerits of Mode and Median
- Merits & Demerits of Median Variance
10. Probability Basics
- Notation and Terminology
- Unions and Intersections
- Conditional Probability and Independence
11. Probability Distributions
- Random Variable
- Probability Distributions
- Probability Mass Function
- Parameters vs. Statistics
- Binomial Distribution
- Poisson Distribution
- Normal Distribution
- Standard Normal Distribution
- Central Limit Theorem
- Cumulative Distribution function
12. Tests of Hypothesis
- Large Sample Test
- Small Sample Test
- One Sample: Testing Population Mean
- Hypothesis in One Sample z-test
- Two Sample: Testing Population Mean
- One Sample t-test – Two Sample t-test
- Paired t-test
- Hypothesis in Paired Samples t-test
- Chi-Square test
13. Data Analysis
- Case study- Netflix
- Deep analysis on Netflix data
Module 3: Machine Learning
- Exploratory Data Analysis
- Data Exploration
- Missing Value handling
- Outliers Handling
- Feature Engineering
- Feature Selection
- Importance of Feature Selection in Machine Learning
- Filter Methods
- Wrapper Methods
- Embedded Methods
- Machine Learning: Supervised Algorithms Classification
- Introduction to Machine Learning
- Logistic Regression
- Naïve Bays Algorithm
- K-Nearest Neighbor Algorithm
- Decision Tress
- SingleTree
- Random Forest
- Support Vector Machines
- Model Ensemble
- Model Evaluation and performance
- K-Fold Cross Validation
- ROC, AUC etc…
- Hyper parameter tuning
- Regression
- classification
- Machine Learning: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree and Random Forest Regression
- Machine Learning: Unsupervised Learning Algorithms
- Similarity Measures
- Cluster Analysis and Similarity Measures
- Ensemble algorithms
- Bagging
- Boosting
- Voting
- Stacking
- K-means Clustering
- Hierarchical Clustering
- Principal Components Analysis
- Association Rules Mining & Market Basket Analysis
Module 4: Project Work and Case Studies
- Machine Learning end to end Project blueprint
- Case study on real data after each model.
- Regression predictive modeling – E-commerce
- Classification predictive modeling – Binary Classification
- Case study on Binary Classification – Bank Marketing
- Case study on Sales Forecasting and market analysis
- Widespread coverage for each Topic
- Various Approaches to Solve Data Science Problem
- Pros and Cons of Various Algorithms and approaches
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Who can apply for the course?
- Aspiring Data Scientists who are interested in switching careers.
- Graduate/post-graduate students wishing to pursue their careers in Data Analytics/Data Science.
- Professionals who work with big data.
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Machine learning is a topic of interest to professionals.
- Business analysts and those who work with data
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- Project Implementation with Real-Time Scenario.
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