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Key Highlights
Things To Know
- Aspiring to delve into data science, Python programming, and machine learning for building robust applications should strongly consider enrolling in this course.
- Data Analyst
- Junior Data Scientist
- Machine Learning Engineer
- Data Scientist
- Senior Data Scientist
- Data Science Consultant
- Machine Learning Researcher
- Business Intelligence (BI) Analyst
About the Course
Dive into the world of data science with our comprehensive program covering fundamental concepts and advanced techniques.
Gain practical experience through hands-on projects and case studies, preparing you for real-world challenges.
Learn from industry experts who provide in-depth instruction and mentorship throughout the course.
Explore machine learning, deep learning, and artificial intelligence to unlock insights from data and drive innovation.
Benefit from internship opportunities and job placement assistance to kickstart your career in data science.
Join a dynamic learning community dedicated to empowering individuals with the skills and knowledge to succeed in the field of data science.
Content
Our Data Science with Python & ML course offers comprehensive training in Python programming, statistical analysis, machine learning, and artificial intelligence techniques. Participants gain hands-on experience through projects, enabling them to analyze large datasets, derive insights, and make informed decisions in data-driven industries, ensuring success in the dynamic field of data science
- What Is Data Science
- Different Domains in Data Science
- Need of Data Science
- Use of Data Science in Business
- Lifecycle of Data Science Projects
- Data Science Tools and Technologies
- Basics of Excel for Analysis
- Required Skill for Data Science
- Descriptive vs Inferential Statistics
- Types of data
- Sampling Techniques
- Measures of Central Tendency and Dispersion
- Hypothesis & Inferences Testing
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1 . F Test
2 . T Test
3 . ANNOVA
4 . Chi Square Test
- Confidence Interval
- Central Limit Theorem
- P value
- Variables
- Co relation and Co Variance
Excel Essentials
- Excel Essentials
- Working with Multiple Worksheet
- Cell Referencing
- Working with Data Lists
- Conditional Formatting
- Data Validation
- What-If Analysis
- Formula Auditing
- Protection
Formulas & Functions
- Conditional Function
- Text & Statistical Function
- Financial Function
- Creating HLOOKUP and VLOOKUP Functions
- Advanced Conditional Formatting
- Advanced Lookup and Reference Functions
- Introduction to Python
- Command line basics
- Numbers, Operators & Comments
- Variables & Strings
- Boolean & Conditional Logic
- Looping in Python
- Lists
- Dictionaries
Visualisation with Seaborn
- Introduction to Seaborn
- Seaborn Installation
- Basics of Plotting
- Plots Generation
- Visualising the Distribution of a Dataset
- Selection of color palettes
- Lists
- Dictionaries
- Tuples & Sets
- Functions
- Modules
- OOPS
- File I/O
- Handling Missing values(Numerical / Categorical)
- Graphical Exploratory Analysis (Seaborn / Matplotlib)
Visualisation with Matplotlib
- Matplotlib Installation
- Matplotlib Basic Plots & it's Containers
- Matplotlib components and it’s properties
- Py lab & Py plot
- Scatter plots
- 2D Plots
- Histograms
- Bar Graphs
- Pie Charts
- Box Plots
SUPERVISED LEARNING
- Linear Regression / Multi-Linear Regression
- Logistic Regression
- Decision Tree (CART)
- Ensemble Learning
- Random Forest
- xgBoost
- K Nearest Neighbors (KNN)
- Support Vector Machine (SVM)
- Naive Bayes Classifier (NBC)
- Grid Search CV and Random Search CV
- Linear Discriminant Analysis (LDA)
UNSUPERVISED
- Hierachical Clustering / Dendograms
- K Means Clustering
- DBSCAN
- MINI BATCH K MEANS
METRICS
- MAE / MSE/ RMSE / R2 and Adjusted R2
- AUC ROC CURVE / Precision / Recall / F1 score / Confusion Metrics
DIMENSION REDUCTION MODELS
- PCA
- Kernal PCA
TIME SERIES ANALYSIS
- ARIMA
- FB PROPHET
HYPERPARAMETER TUNING / ADVANCED ML MODELS
- Overfitting and underfitting
- Cross Validation
- Log Loss
- Elastic net
- Lasso And Ridge Regression
- SMOTE
- SKLEARN Using HyperParameter
- Model Evalution
- Gradient Descent
GIT: Complete Overview
- Introduction to Git & Distributed
- Version Control
- Life Cycle
- Create clone & commit Operations
- Push & Update Operations
- Stash, Move, Rename & Delete
- Operations
- Selecting & Retrieving Data With SQL
- Filtering, Sorting, and Calculating Data with SQL
- Subqueries and Joins in SQL
- Modifying and Analysing Data with SQ
- Architecture of Tableau
- Product Components
- Working with Metadata and Data Blending
- Data Connectors
- Data Model
- File Types
- Dimensions & Measures
- Data Source Filters
- Creation of Sets
- Gantt Chart
- Funnel Chart
- Waterfall Chart
- Working with Filters
- Organising Data and Visual Analytics
- Working with Mapping
- Working with Calculations and Expressions
- Working with Parameters
- Creating Charts and Graphs
- Dashboard Creation
ARTIFICAL INTELLIGENCE
- overview of AI
- Need of Artificial Intelligence
- What is Neuron
- Architecture of Artificial Neural Network
- Modules
- Activation Function
- Optimization Function
- Cost function
- Dense Network
- Regularization
- Gradient Descent
ANN (ARTIFICIAL NEURAL NETWORK)
- Simple ANN Model
CNN (IMAGE CLASSIFICATION)
- Basic Intro to CNN
- CNN (Convolution Neural Network)
- CNN Architecture Building
- Transfer Learning (VGG16 / VGG 19 / RESNET 50 / Inception V3)
NLP (NATURAL LANGUAGE PROCESSING)
- Basic Intro to NLP Models
- simple NLTK (stemming/ lemmatization/ regex/ stop words, corpus, unigram, bigram, trigram)
- BAG of words (count vectorization)
- TD-IDF-term frequency inverse document frequency
- Word Embedding
GLOVE WORD 2 VEC
- Fast text
- Keyed vector
- Text blobCertificate: G-TEC JAINx Certificate (only)
Certificate
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- GJX: The Data Science Certificate provided by the G-TEC JAINx education is a prestigious recognition awarded to individuals who successfully complete their data science courses. This certificate serves as a confirmation of your expertise and competence in the field of data science
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- JAIN: The Data Science Certificate issued by JAINX University is a prestigious acknowledgment presented to individuals upon the successful completion of their data science courses. This certificate serves as a validation of your proficiency and competence in the field of data science.
Our Affiliations & Associations
We believe people are at the centre of every solution, leading us to the right solution just waiting to be delivered.
Our Students are Working in Following Companies
What Our Students Say
I highly recommend the Web Designing Course at G-TEC JAINx Education for anyone interested in pursuing a career in web design."
The Data Science with ML & AI course at G-TEC JAINx was a game-changer for my career. The practical approach and industry-relevant curriculum gave me the confidence and skills to excel in the field of data science. The instructors were knowledgeable and always available for guidance.
Enrolling in the Data Science with ML & AI program was the best decision I made for my professional growth. The course was comprehensive, covering the latest trends and technologies. The hands-on projects were particularly beneficial, providing real-world experience in machine learning and AI.
G-TEC JAINx Support
Throughout the course,
learners will have access to dedicated support from instructors and course mentors.
They can
ask questions, seek clarification, and receive guidance to enhance their learning
experience.
Additionally, the course provides a collaborative learning environment where
students can
interact with peers, share insights, and learn from each other's experiences.
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Phone Number +91 63615 14141 -
Email [email protected]