Data science & Data Analytics
Data science & Data Analytics
- 500+ students
- 4.8 Review
Data Science and Data Analysis Training
Section 1: Course Description
Master Data Science and Data Analysis with DreamsPlus’ in-depth training program in Singapore. Gain expertise in the latest tools, techniques, and best practices to derive actionable insights from data. Earn an industry-recognized certification that will boost your career opportunities and set you apart in the data-driven job market.
Section 2: Key Points/Training Highlights
Data Science and Data Analysis Training Highlights
- Pre-requisites: Basic statistics knowledge
- Eligibility: Data analysts, business intelligence professionals, and enthusiasts
- Certification Body: DreamsPlus
- Validity: Lifetime
- Certification Level: Advanced
- Exam Format: Case studies, multiple-choice
- Passing Score: 85%
Section 3: Course Lessons
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.
Section 4: Data Science and Data Analysis-Based Industry Jobs
Data Science and Data Analysis Career Opportunities
- Data Scientist
- Data Analyst
- Business Intelligence Developer
- Data Engineer
- Quantitative Analyst
- Market Research Analyst
- Operations Research Analyst
- Statistical Modeler
- Data Architect
- Business Analyst
Course Curriculum
Month 1: Data Analysis Fundamentals
Month 2: Data Science Fundamentals
Month 3: Data Wrangling and Preprocessing
Month 4: Machine Learning and Modeling
Month 5: Advanced Data Science Topics
Month 6: Capstone Project
DreamsPlus Data Science Training Package
- 24 Hours of Instructor-led Training
- Access to Courseware
- Mock Projects
- Free Webinars
- Assignments
- Certificate of Completion
- Exam Coaching & Guidance
- Post-Training Support
- Guidance for Certification Renewals
- Career Guidance
Advanced Data Science Bootcamp FAQs
The Advanced Data Science course is an immersive training program designed for individuals looking to deepen their knowledge in the field of data science. The course focuses on advanced statistical methods, machine learning algorithms, data visualization techniques, and big data technologies. Students will not only learn the theoretical concepts but also engage in real-world projects, equipping them with the skills necessary to analyze complex data, build robust machine learning models, and effectively communicate insights.
This course is ideal for professionals who already have a foundational understanding of data science and wish to enhance their skills further. It is especially beneficial for data scientists, analysts, and developers familiar with programming in Python or R, basic statistics, and machine learning techniques. The course is designed to expand your knowledge and enable you to apply advanced methodologies to solve complex problems across various industries.
Yes, to make the most of this course, participants should have a good grasp of programming languages like Python or R, along with a basic understanding of probability theory, statistics, and foundational machine learning concepts. If you’re already familiar with data analysis, data cleaning, and basic machine learning, you’ll be well-prepared for the course.
The workshop includes expert-led training, real-world examples, interactive sessions, study materials, practice tests, and certification guidance, ensuring a comprehensive learning experience.
The course covers a wide range of advanced topics in data science. You’ll explore advanced statistical techniques, including multivariate analysis and Bayesian methods, and get hands-on experience with machine learning algorithms, such as ensemble methods, deep learning (CNNs, RNNs), and reinforcement learning. You’ll also dive into Natural Language Processing (NLP), applying techniques like BERT and GPT for text generation and classification. Furthermore, you will work with big data tools like Hadoop and Spark, and learn how to handle large datasets efficiently. Data visualization tools like Plotly and Seaborn will be used to help you present your findings visually.
The course is divided into two main segments. The first part focuses on building a strong foundation with topics like data preprocessing, exploratory data analysis (EDA), and introductory machine learning techniques. This prepares you for the more advanced content, which includes deep learning, NLP, big data analytics, and time series forecasting. The course culminates in a Capstone Project, where you will apply everything you’ve learned to solve a real-world problem, from model building to deployment.
You can choose between classroom training at our state-of-the-art facility in Singapore or live virtual training sessions with expert instructors.
Throughout the course, you will use industry-standard tools and technologies including Python and R for programming, Scikit-learn, TensorFlow, and Keras for machine learning and deep learning. For big data analytics, you’ll gain experience with Hadoop and Spark. In addition, the course will introduce you to visualization tools like Plotly, Seaborn, and Tableau for presenting your insights in a visually appealing way. You will also gain hands-on experience with tools for model deployment such as Docker and AWS.
The Advanced Data Science course will equip you with the cutting-edge skills needed to stand out in the competitive data science job market. You’ll be able to confidently apply advanced machine learning techniques, work with big data, and visualize insights in a way that is meaningful to both technical and non-technical stakeholders. The Capstone Project will give you the opportunity to showcase your skills, demonstrating your ability to take on complex data science challenges from start to finish. With these advanced competencies, you will be
Yes, upon successful completion of the Advanced Data Science course, you will receive a DreamsPlus Advanced Data Science Certification. This certificate will validate your expertise in advanced data science techniques and can significantly enhance your resume, demonstrating your proficiency to potential employers.
Enrollment is simple. You can visit our website at dreamsplus.sg and fill out the registration form. For more information, you can also reach out to our support team via email at support@dreamsplus.sg or call us directly at +65 8205 0700. We’ll be happy to assist you with the enrollment process or answer any further questions you may have.
The Advanced Data Science course is a great opportunity to level up your skills and become an expert in one of the most sought-after fields today.
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