Discover job guarantee programs at Atharv Upgrade, ensuring career success with hands-on training and placement support in various industries.
- Introduction to Data Science:Â Begin by understanding the fundamental concepts of data science, exploring its role in various industries, and uncovering the power of data-driven decision making.Â
- Introduction to Data Science:Â Begin by understanding the fundamental concepts of data science, exploring its role in various industries, and uncovering the power of data-driven decision making.
- Â Data Manipulation with Pandas:Â Master the Pandas library, a powerful tool for data manipulation and analysis. Explore data structures, indexing, filtering, aggregation, and data cleaning.
- Data Visualization with Matplotlib and Seaborn:Â Discover the art of data visualization using Matplotlib and Seaborn. Learn to create insightful graphs, charts, and plots that communicate complex information effectively.
- Exploratory Data Analysis (EDA):Â Delve into EDA techniques to uncover patterns, trends, and relationships within your data. Gain insights through statistical summaries, distributions, and correlation analysis.
- Machine Learning Fundamentals:Â Introduce yourself to the world of machine learning. Learn about supervised and unsupervised learning, and explore algorithms for classification and regression tasks.
- Model Evaluation and Selection:Â Understand how to evaluate machine learning models using performance metrics, cross-validation, and hyperparameter tuning. Choose the right model for your data.
- Data Preprocessing and Feature Engineering:Â Explore the critical steps of preparing data for machine learning. Learn about feature scaling, encoding categorical variables, and handling missing data.
- Advanced Topics in Data Science:Â Delve into advanced concepts such as time series analysis, natural language processing (NLP), and deep learning, extending your toolkit for diverse data challenges.
- Advanced Topics in Data Science:Â Delve into advanced concepts such as time series analysis, natural language processing (NLP), and deep learning, extending your toolkit for diverse data challenges.
- Job Readiness and Career Support:Â Prepare for a career in data science with resume building, interview preparation, and guidance on creating a compelling portfolio.
Phase 1: Foundation and Python Proficiency
1.Introduction to Data Science
2. Python Programming Essentials
3. Data Manipulation and Cleaning
Phase 2: Data Visualization and Exploratory Analysis
1.Data Visualization Techniques
2. Exploratory Data Analysis (EDA)
Phase 3: Machine Learning Fundamentals
1.Introduction to Machine Learning
Model Building and Evaluation
Phase 4: Advanced Techniques and Specializations
1.Feature Engineering and Preprocessing
2. Time Series Analysis and Forecasting
3. Natural Language Processing (NLP)
4. Deep Learning Foundations
Phase 5: Real-world Projects and Career Preparation
1.Applied Projects
2. Job Readiness and Career Support
Phase 6: Job Guarantee and Beyond
1.Capstone Project
2. Final Assessment and Job Guarantee
3.Ongoing Industry Support
Conclusion:
As you embark on this Data Science with Python course, you’re embarking on a journey that empowers you to derive valuable insights from data, drive informed decision-making, and excel in the ever-evolving field of data science. Are you ready to unlock the potential of data? Enroll today and embark on a transformational journey in the world of Data Science with Python!
Disclaimer:Â The curriculum and roadmap are subject to change based on industry trends and advancements.