Data Analysis and Data Science Program for Beginners
Unlock Your Data Science Potential: A 6-Month Journey to Mastery
At DreamsPlus, our Data Analysis and Data Science course is meticulously designed to equip beginners with the essential skills required to excel in the data-driven world. Spanning six months, this course offers a blend of theoretical knowledge and practical experience, ensuring you become proficient in data analysis, data science, and related fields. Additionally, the program includes vital skill development in IT Service Management (ITIL v4) and Agile Scrum Basics, along with hands-on internship opportunities to solidify your learning.
Course Syllabus Overview:
Month 1: Data Analysis Fundamentals
- Introduction to Data Analysis: Explore the significance and types of data analysis.
- Data Visualization: Learn tools like Excel, Tableau, and Power BI to create compelling visual data stories.
- Data Manipulation and Cleaning: Master data cleaning techniques to ensure high-quality data.
- Statistical Analysis: Understand the core statistical concepts crucial for data analysis.
Month 2: Data Science Fundamentals
- Introduction to Data Science: Dive into the world of data science and its various applications.
- Machine Learning: Get acquainted with different machine learning algorithms and their uses.
- Data Mining: Learn predictive, descriptive, and prescriptive data mining techniques.
- Big Data: Understand the characteristics of big data and tools like Hadoop and Spark.
Month 3: Data Wrangling and Preprocessing
- Data Wrangling: Learn to manipulate and transform data using tools like Pandas and NumPy.
- Data Preprocessing: Discover techniques like data normalization and handle missing data.
- Feature Engineering: Improve your model’s performance through advanced feature engineering techniques.
- Data Quality and Validation: Ensure your data is accurate and reliable for analysis.
Month 4: Machine Learning and Modeling
- Supervised Learning: Understand and apply supervised learning algorithms like linear regression.
- Unsupervised Learning: Learn clustering and dimensionality reduction techniques.
- Reinforcement Learning: Explore reinforcement learning algorithms and their applications.
- Model Deployment and Maintenance: Gain insights into model deployment and ongoing maintenance.
Month 5: Advanced Data Science Topics
- Deep Learning: Delve into advanced topics like CNN, RNN, and their real-world applications.
- Natural Language Processing: Learn about NLP techniques and their use in applications like chatbots.
- Time Series Analysis: Explore techniques for analyzing time-series data and their applications.
- Big Data Analytics: Understand big data analytics techniques and their role in business intelligence.
Month 6: Capstone Project
- Apply all your learning to a real-world project that integrates data analysis, machine learning, and data science concepts. Present your project to industry experts for invaluable feedback.
Related Skill Development
In addition to digital marketing expertise, our program includes:
IT Service Management Process (ITIL v4 Foundation)
- Understand the ITIL framework, service management, service value chain, and digital transformation principles.
Project Management (Agile Scrum Basics)
- Gain insights into the Agile Scrum framework, roles, events, and values that drive successful project management.
Global Certification Guidance
DreamsPlus provides guidance for global certifications in data analytics, ITIL, and Scrum. While certification fees are not included in the program, we offer comprehensive support to help you prepare for these exams.
Additional Support: Internship and Placement Coaching
Complete your training with a one-month internship and placement coaching. Gain practical experience and receive an experience letter to boost your resume.
Note: Global certification in Cloud technologies, ITIL, and Scrum will be guided by the program, but candidates must choose and appear for the global exams on their own. The global certification fees are not included in the program, and candidates will pay for the exams separately when registering.