•     marker--v2 302, B - Wing, 3rd Floor, Pinnacle Corporate Park, Bandra Kurla Complex, Bandra East, Mumbai - 400051

Key Highlights

G-Tec Jain Education Comprehensive curriculum
Comprehensive curriculum
Comprehensive coverage of Python, R, and SQL for data manipulation and analysis.
G-Tec Jain Education Practical learning
Practical learning
Real-world projects that provide hands-on experience and practical application.
G-Tec Jain Education Industry expertise
Industry expertise
Sessions led by industry experts offering insights into current trends and practices.
G-Tec Jain Education Career-focused training
Career-focused training
Career support, including guidance and job placement assistance, to help you succeed.
G-Tec Jain Education Data manipulate
Data manipulate
Specializations in AI and ML to deepen your knowledge in these cutting-edge fields.
G-Tec Jain Education Flexible learning
Flexible learning
Access to a dedicated learning platform, allowing flexible and continuous learning.

About the Course

G-Tec Jain Education Gain essential skills in data analysis
Industry-Relevant Skills

Focus on acquiring skills that are in high demand across various sectors. This course is designed with input from industry professionals to ensure it meets current market needs.

G-Tec Jain Education Hands-On Learning
Hands-On Learning

Emphasize practical, hands-on learning through projects and case studies that simulate real-world problems, allowing you to apply theoretical knowledge in practical scenarios.

G-Tec Jain Education Cutting-Edge Technologiesy
Cutting-Edge Technologies

Stay ahead of the curve by learning the latest tools and techniques in AI and ML, positioning yourself as a leader in the field.

G-Tec Jain Education Expert Mentorship
Expert Mentorship

Benefit from the guidance of seasoned professionals who bring real-world experience to the classroom, helping you bridge the gap between theory and practice.

G-Tec Jain Education Holistic Learning Experience
Holistic Learning Experience

Engage in an interactive learning environment that combines video lectures, live sessions, peer discussions, and one-on-one mentoring.

G-Tec Jain Education Career prospects
Strong Placement Support

Leverage our extensive network of industry connections and strong placement support to secure roles in leading organizations, ensuring that your education translates into a successful career.

Content

Data Science with Python, Artificial Intelligence and Machine Learning, is an intensive 240-hour course, focused on equipping participants with practical skills in Python, AI & ML. The course includes hands-on projects, ethical considerations and communication training, preparing Graduates for roles such as Data Scientist or Machine Learning Engineer

  • Introductions to Data Science
  • 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

Excel Essentials

  • Types of data
  • Descriptive vs Inferential Statistics
  • Sampling Techniques
  • Measures of Central Tendency and Dispersion
  • Hypothesis & Inferences Testing
      • 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

Dashboard Designing (MIS)

  • Creating Dashboard
  • Charts & Sparkline’s
  • Use of Power Pivots for Data Analysis
  • Use of Power Queries & Power Map
  • Pivot table Dashboard with Slicers

Automation

  • Working with External Data
  • Exporting & Importing Data
  • Excel, Access, PPT, TXT, CSV
  • Updating Charts, Table in PowerPoint
  • Converting Reports into PDF
  • Exporting Charts, Tables to PowerPoint

  • 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

  • Introduction To AI
  • Why AI is Required
  • What is Neuron
  • Architecture of Artificial Neural Network
  • Neural Network Modules
  • Activation Functions
  • Optimization Function
  • Cost function
  • Dense Neural Network
  • Regularization
  • Gradient Descent

Image Classification

  • Basic Intro to CNN
  • CNN (Convolution Neural Network)
  • CNN Architecture Building
  • Transfer Learning (VGG16 / VGG 19 / RESNET 50 / Inception V3)

ANN (Artificial Neural Network)

  • Simple ANN Model

NLP (Natural Language Processing)

  • Basic Intro to NLP
  • Simple NLTK (stemming, lemmatization, regex, stop words, corpus, unigram, bigram, trigram)
  • BAG for words (count vectorization)
  • TD-IDF-term frequency inverse document frequency

  • Word embedding:

    • GloVe
    • Word2Vec
    • FastText
    • Keyed Vector
    • TextBlob

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
  • 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

Tableau

  • 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
  • Funnel Chart
  • Gantt Chart
  • Waterfall Chart
  • Working with Filters
  • Organizing Data and Visual Analytics
  • Working with Mapping
  • Working with Calculations and Expressions
  • Working with Parameters
  • Charts and Graphs
  • Dashboard Creation

Learners Outcome

G-Tec Jain Education Learners Outcome
  • Comprehensive coverage of Python, R, and SQL for data manipulation and analysis.
  • Real-world projects that provide hands-on experience and practical application.
  • Specializations in AI and ML to deepen your knowledge in these cutting-edge fields.
  • Sessions led by industry experts offering insights into current trends and practices.
  • Career support, including guidance and job placement assistance, to help you succeed.
  • Access to a dedicated learning platform, allowing flexible and continuous learning.

Career Outcome

    Graduates can pursue careers as

  • Data Scientist
  • ML Engineers
  • AI Specialists
  • Data Analysts

    • with strong skills in data-driven problem-solving and innovation

G-Tec Jain Education Career Outcome

Certificate

    • NSDC: NSDC certification is widely recognized and respected by employers in various industries. It signifies the individual's skills, knowledge, and competence in a specific sector or job role. By obtaining NSDC certification, individuals can demonstrate their commitment to professional development, stand out in the job market, and enhance their career prospects within their chosen industry
    G-Tec Jain Education NSDC
    • GJK:The Data Science Certificate provided by the G-TEC JAIN Keerti 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
    G-Tec Jain Education GJK
    • 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.
    G-Tec Jain Education JAIN

Course Overview

Video Bg Image


Our Affiliations & Associations

We believe people are at the centre of every solution, leading us to the right solution just waiting to be delivered.



G-Tec Jain Education abma-education
G-Tec Jain Education acca
G-Tec Jain Education ac-council
G-Tec Jain Education adobe-certified
G-Tec Jain Education aie
G-Tec Jain Education autodesk
G-Tec Jain Education certiport
G-Tec Jain Education esb
G-Tec Jain Education iaap
G-Tec Jain Education
G-Tec Jain Education iab
G-Tec Jain Education iibi
G-Tec Jain Education information-technology-specialist
G-Tec Jain Education jain
G-Tec Jain Education media-intertainment
G-Tec Jain Education microsoft-office-specialist
G-Tec Jain Education niekit
G-Tec Jain Education nsdc
G-Tec Jain Education pmi
G-Tec Jain Education prometric
G-Tec Jain Education quick-books
G-Tec Jain Education rasci
G-Tec Jain Education sap
G-Tec Jain Education sap-partner
G-Tec Jain Education sap-student-academy-program
G-Tec Jain Education tally
G-Tec Jain Education uk


TESTIMONIALS OF DATA Science with ML and AI COURSE

Frequently Asked Questions

  • Data Science with ML and AI is an advanced certification course focusing on data science techniques.
  • Aspiring data analysts, business intelligence professionals, data scientists, and individuals seeking to enhance their data visualization and analytics skills.
  • The course covers advanced data visualization tools (e.g., Tableau, Power BI), data manipulation, data storytelling, predictive analytics.
  • Basic knowledge of Programming, data analysis and familiarity with data visualization tools may be helpful, but some courses offer beginner-friendly options.
  • Data Science with ML and AI equips professionals with the expertise to create compelling visualizations and make data-driven decisions in various industries.
  • Yes, successful completion of Data Science with ML and AI leads to a recognized certification, showcasing proficiency in Data Science with ML and AI.
  • The course duration is 240 Hrs. and 6 Months Program
  • Yes, many courses offer practical exercises and hands-on training to reinforce learning.
  • Yes, the skills acquired in A-DVA are versatile and applicable across industries where data analysis and visualization are crucial.
  • Yes, professionals with expertise in data visualization and analytics are in high demand across various sectors.
  • Yes, Data Science with ML and AI typically covers both foundational and advanced methods to cater to learners of varying levels.


keerti Learner 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.

For more details connect with us:

G-Tec Jain Education Phone Number
Phone Number
G-Tec Jain Education Email
Email
[email protected]

Interested In Course

Download the Brochure by filling the form below