Hybrid and Electric Vehicle Program

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Breadcrumb Abstract Shape
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Hybrid and Electric Vehicle TRAINING

Learn the essential theory, develop practical skills, and gain industry insights to understand, design, and work with modern electric and hybrid vehicles. From battery technology and power electronics to drive systems and charging infrastructure, this course equips you with the knowledge and hands-on experience required to contribute to the future of sustainable mobility and become a successful EV/HEV engineer.

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HEVs Skillsflick course

2-3 Months

20+ Hrs

10k+ Students

30+ Experts

1 On One Interaction

Here's Why You Need to Master Data Science

10,000+

JOB OPPORTUNITIES IN INDIA

10LPA-12LPA

MEDIAN SALARY PACKAGE

28%

ANNUAL GROWTH RATE

CURRICULUM

MODULE 1: Python Programming Essentials
  1. Variables, Data Types, Operators, Typecasting
  2. Conditional Statements & Loops
  3. Functions & Error Handling
MODULE 2: Object-Oriented Programming & Core Libraries
  1. OOP Concepts: Inheritance, Polymorphism, Encapsulation, Abstraction
  2. Numpy: Arrays, Vector & Matrix Operations, Random Number Generation
MODULE 3: Data Analysis with Pandas
  1. Working with Series & DataFrames
  2. Data Cleaning, Handling Missing Values
  3. Exploratory Data Analysis (EDA) on Datasets
MODULE 4: Data Visualization
  1. Matplotlib for Basic Graphs
  2. Seaborn for Statistical Plots (Heatmaps, Pairplots, Countplots)
  3. Building Insightful Visualizations
MODULE 5: Statistics for Data Science
  1. Descriptive Statistics: Mean, Median, Mode, Variance, Correlation
  2. Inferential Statistics: Hypothesis Testing, p-value, Confidence Intervals
  3. Probability Basics for Data Analysis
MODULE 6: Linear Algebra & Mathematical Foundations
  1. Vectors, Matrices & Operations
  2. Determinants & Inverses
  3. Applications in Data Preprocessing & Transformation
MODULE 7: Introduction to Machine Learning
  1. Overview of Supervised & Unsupervised Learning
  2. Regression Models: Linear & Logistic Regression
  3. Classification: Decision Trees, Random Forest
MODULE 8: Advanced Machine Learning
  1. Clustering Techniques (K-Means, Hierarchical, DBSCAN)
  2. Time Series Analysis & Forecasting
  3. Model Evaluation Metrics (Accuracy, F1, RMSE)
MODULE 9: SQL for Data Handling
  1. Database Creation, Select Queries, Data Types & Constraints
  2. Joins, Clauses & Functions
  3. Subqueries & Common Table Expressions (CTEs)
MODULE 10: Business Intelligence with Power BI
  1. Power BI Basics & Data Preparation
  2. Data Modeling & DAX Functions
  3. Creating Dashboards & Reports for Business Insights

Companies Hiring Data Scientists

Our curriculum is designed to give you the skills needed to crack interviews at leading companies like these.

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Affordable and student friendly prices

SKILLSTACK

  • Recorded Lectures
  • Real Time Projects
  • 4+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • CERTIFICATION
  • Mentor Support
  • Placement Guidance
  • Interview Assistance
  • Linkedin Optimization

₹5,000.00Add to cart

SKILLFORGE

  • Recorded Lectures
  • Real Time Projects
  • 10+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • CERTIFICATION
  • Mentor Support
  • Placement Guidance
  • Interview Assistance
  • Linkedin Optimization

₹9,000.00Add to cart

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