What is Certified Data Scientist Course?
Datamites Team
Certified Data Scientist (CDS) stands as a global leading data science certification acknowledged worldwide and endorsed by IABAC. Through DataMites, a distinguished platinum partner of IABAC, aspiring professionals can embark on an 8-month journey to become certified data scientists. This comprehensive course not only imparts theoretical knowledge but also provides hands-on experience through data science internships and live projects.
The Certified Data Scientist Training encompasses a bundle of 10 Courses, each tailored to provide comprehensive, job-oriented data science training. Covering essential topics ranging from statistical analysis to machine learning algorithms, the course equips learners with the skills needed to excel in data science roles.
Refer these below articles:
- Engineering a Future in Data Science
- Climbing the Data Science Ladder
- Mastering Data Science in India
Certified Data Scientist (CDS) Courses List of Courses:
- Data Science Foundation
- Python Foundation
- Statistics Essentials
- Machine Learning Associate
- Machine Learning Expert
- Advanced Data Science
- Database: SQL and MongoDB
- Version Control with Git
- Big Data Foundation
- Certified BI Analyst
Let’s go in depth;
1. Data Science Foundation - Is a beginner-friendly course encompassing all fundamental aspects of data science, providing a comprehensive introduction to essential concepts, techniques, and tools in the field.
What will be covered - Data science course introduction, Data Science Essentials, Data Science Demo, Analytics Classification, Data and Related Fields, Data Science Roles and Workflow, Machine Learning Introduction, and Data Science Industry Applications.
Prerequisites - Python Foundation
Learning Hours - 60 Hours
2. Python Foundation - A foundational course offering a comprehensive introduction to Python programming language for beginners.
What will be covered - Python Basics, Python Control Statements, Python Data Structures, Python Functions, Python Numpy Package, and Python Panda Package.
Prerequisites - None
Learning Hours - 40 Hours
3. Statistics Essentials - Covers essential statistical concepts and techniques crucial for data analysis and decision-making in various domains.
What will be covered - Overview of Statistics, Harnessing Data, Exploratory Data Analysis, Hypothesis Testing, and Correlation and Regression.
Prerequisites - None
Learning Hours - 20 Hours
4. Machine Learning Associate - Introduces the fundamental principles and algorithms of machine learning, providing a solid understanding of its applications and methodologies.
What will be covered - Machine Learning Introduction, Python Numpy and Pandas Package, Visualization with Python, ML Algo: Linear Regression, ML Algo: KNN, ML Algo: Logistics Regression, Principle Component Analysis (PCA), and ML Algo: K Means Clustering.
Prerequisites - Python Foundation, Data Science Foundation
Learning Hours - 40 Hours
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5. Machine Learning Expert - Advanced course diving deep into complex machine learning algorithms, model optimization, and practical implementation strategies for real-world problems.
What will be covered - Machine Learning Introduction, ML Algo: Linear Regression, ML Algo: Logistics Regression, ML Algo: KNN, ML Algo: K Means Clustering, Principal Component Analysis (PCA), ML Algo: Decision Tree, ML Algo: Naive Bayes, Gradient Boosting, XGBoost, ML Algo: Support Vector Machine (SVM), Artificial Neural Network (ANN), and Advanced ML Concepts.
Prerequisites - Python Foundation, Data Science Foundation
Learning Hours - 80 Hours
6. Advanced Data Science - Explores advanced techniques and methodologies in data science, including deep learning, natural language processing, and predictive analytics.
What will be covered - Time Series Forecasting - ARIMA, Feature Engineering, Sentiment Analysis, Regular Expressions with Python, ML Model Deployment with Flask, Advanced Data Analysis with MS Excel, AWS Cloud for Data Science and Azure for Data Science.
Prerequisites - Python Foundation, Machine Learning Foundation, Data Science Foundation
Learning Hours - 40 Hours
7. Database: SQL and MongoDB- Equips learners with skills in both SQL and NoSQL databases, covering query languages, database design, and management for structured and unstructured data.
What will be covered - DataBase Introduction, SQL Basics, Data Types and Constraints, DataBases and Tables (MySQL), SQL Joins, SQL Commands and Clauses, and Document DB/NO-SQL DB.
Prerequisites - None
Learning Hours - 15 Hours
8. Version Control with Git - Teaches the fundamentals of version control using Git, enabling efficient collaboration, code management, and project tracking in software development.
What will be covered - GIT Introduction, GIT Repository and GitHub, Commits, Pull, Fetch, and Push, Tagging, Branching, and Merging, Undoing Changes, and GIT with GITHub and Bitbucket.
Prerequisites - None
Learning Hours - 10 Hours
9. Big Data Foundation- Introduces the principles, technologies, and tools used in handling and analyzing large volumes of data, covering frameworks like Hadoop and Spark.
What will be covered - Big Data Introduction, HDFS and Map Reduce, PySpark Foundation, Spark SQL and Hadoop Hive, Machine Learning with Spark ML, and KAFKA and Spark.
Prerequisites - Python Foundation
Learning Hours - 20 Hours
10. Certified BI Analyst - Focuses on business intelligence concepts, data visualization techniques, and analytics tools to derive insights and support decision-making processes in organizations.
What will be covered - Business Intelligence Introduction, BI with Tableau: Introduction, Tableau: Connecting to Data Source, Tableau: Business Insights, Dashboards, Stories, and Pages, and BI with Power BI.
Prerequisites - None
Learning Hours - 15 Hours
Also Refer these below articles:
- Data Science Career Scope in India
- Data Science Career Scope in Hyderabad
- Data Science Career Scope in Pune
Data Scientists command high salaries globally, with an average of $154,913 per year in the United States and ₹12,00,000 per year in India, as reported by Glassdoor. The typical annual salary for a Data Scientist in the United Kingdom is £51,542, as reported on Indeed. The demand for data science skills is booming, projected to surge by 27.9% by 2026, according to the US Bureau of Labor Statistics.
With the projected 11.5 million data science job openings by 2026, the field offers unparalleled career prospects. (US Bureau of Labour statistics) DataMites CDS Course, a beginner and intermediate-level program, is meticulously designed to upskill individuals into Certified Data Scientists Courses. With a vigorously updated curriculum spanning 300 learning hours, embark on your journey today and become certified in just 8 months.
Join DataMites Certified Data Scientist Program now for a rewarding career in Data Science.
