12+
YEARS OF
EXPERIENCE
90k+
STUDENTS TRAINED
ACROSS INDIA
100+
COMPANY
RELATIONSHIPS
- ABOUT
Your Dreams Deserve to be Realized, and we are here to Make It Happen
Welcome to Career Credentials, your trusted partner in career development and placement success. With a strong commitment to your professional growth, we empower individuals to unlock their full potential and secure their dream jobs with certainty. Join us at Career Credentials and unlock a world of opportunities. Ignite your potential, fuel your aspirations, and embark on a fulfilling career journey with the assurance of guaranteed job placements. Your dreams deserve to be realized, and we are here to make it happen.
- Academics
Course Curriculum
Week 1: Introduction to Data Science & Analytics
- Introduction to Data Science
- Overview of Data Analytics and its applications
- Understanding the Data Science Workflow
- Introduction to Data Visualization
Week 2: SQL for Data Analysis
- Introduction to Relational Databases and SQL
- Data Manipulation with SQL
- Querying and Filtering Data
- Aggregating and Grouping Data
- Joins and Subqueries
Week 3: Big Data Engineering
- Introduction to Big Data
- Hadoop Ecosystem (HDFS, MapReduce)
- Apache Spark for Big Data Processing
- Distributed Data Processing with Spark
- Handling Big Data with Spark SQL
Week 4: Advanced Excel for Data Analysis
- Advanced Functions and Formulas in Excel
- Data Cleaning and Transformation
- Pivot Tables and Data Visualization
- Data Analysis Tools in Excel
Week 5: Data Visualization with Power BI and Tableau
- Introduction to Data Visualization
- Creating Interactive Dashboards with Power BI
- Visualizing Data with Tableau
- Design Principles for Effective Visualizations
Week 6: Python Programming for Data Science
- Introduction to Python Programming
- Data Manipulation with Pandas
- Data Visualization with Matplotlib and Seaborn
- Handling Data in NumPy
- Data Analysis with Python
Week 7: Machine Learning
- Introduction to Machine Learning
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Model Evaluation and Selection
- Feature Engineering and Selection
Week 8: Deep Learning and Neural Networks
- Introduction to Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks (Computer Vision)
- Recurrent Neural Networks (Natural Language Processing)
- Transfer Learning and Model Deployment
Week 9: Natural Language Processing (NLP)
- Introduction to NLP
- Text Preprocessing and Tokenization
- Sentiment Analysis and Text Classification
- Named Entity Recognition
- Text Generation with RNNs
Week 10: Computer Vision and Image Processing
- Introduction to Computer Vision
- Image Processing Techniques
- Object Detection and Recognition
- Image Segmentation
- Face Recognition
Week 11: Time Series Analysis
- Introduction to Time Series Data
- Time Series Visualization and Decomposition
- Forecasting Techniques (ARIMA, SARIMA)
- Evaluating Time Series Models
- Time Series Anomaly Detection
- Technologies
Programming Languages & Tools
- Featured
Industry Projects
- Achievements
Our Students Get Placed In
- Kickstart your Career
Be A Part of Career Credentials
- Why Join Us?
Key Benefits
Guarantee
Solving
- Certifications
Our Certifications
IBM Certification
The Masters in Full Stack Developer Course offers three modules: Python for Web Developers, HTML-based Web Development, and Java Fundamentals. These modules teach essential job-ready skills like Python, databases, data analysis, and more. The course are streamlined to help you easily crack the IBM certification courses. You’ll gain hands-on experience on the IBM Cloud, working with real-world tools and datasets. By the end of the course, you’ll have a portfolio of Full Stack projects, setting you up for a successful career in Full Stack Development.
AWS Certifications
In the Full Stack Development Course offered by Career Credentials, you will be equipped with the necessary skills to assist organizations in identifying and nurturing talent capable of implementing cloud initiatives. The course emphasizes the importance of becoming an AWS Certified Cloud Practitioner, as it demonstrates proficiency in cloud technologies and establishes a solid foundation of AWS knowledge. By obtaining this certification, you validate your expertise in the cloud domain and enhance your career prospects in Full Stack Development.
- Testimonials
Trusted by 90,000+ Student
Career Credentials provided a strong foundation for my full stack development career. The instructors were patient, and their industry connections led to multiple job offers before course completion.
Best career decision! Career Credentials' curriculum was comprehensive and well-paced. The instructors were experts and offered outstanding post-course support. I secured multiple job offers within a month!
- FAQ's
Frequently Asked Questions
What is Data Science, and why is it important?
Data Science is a multidisciplinary field that combines techniques from statistics, mathematics, and computer science to extract insights and knowledge from data. It is important because it helps organizations make data-driven decisions, uncover patterns and trends, and gain a competitive edge in various industries.
What will I learn in the Data Science course?
In this course, you will learn essential concepts and techniques in data manipulation, exploratory data analysis, statistical modeling, machine learning, and data visualization. You will also gain practical experience by working on real-world projects and using popular tools and programming languages such as Python and R.
Are there any prerequisites for the Data Science course?
While prior knowledge of programming and statistics can be beneficial, the course is designed to accommodate learners with various backgrounds. Basic familiarity with programming concepts and a strong motivation to learn and apply data science techniques are the main prerequisites.
How long does the Data Science course take?
The course duration is typically 8 to 12 weeks, depending on the intensity and depth of the curriculum. It is important to note that the learning journey in Data Science is continuous, and further learning and exploration are encouraged beyond the course duration.
Will I receive a certificate upon completion?
Yes, upon successfully completing the course, you will receive a certificate that validates your skills and knowledge in Data Science. This certificate can enhance your resume and demonstrate your proficiency in data analysis and machine learning techniques.
How does your company ensure job opportunities for Data Science graduates?
Our company has established partnerships with various organizations and industry professionals. We provide career support, including job placement assistance, interview preparation, and resume building. Additionally, our training focuses on practical skills and real-world projects to equip you with the necessary experience and portfolio to stand out in the job market.
- Contact Us