An Industry-Aligned Data Science Course with 100% Job Guarantee







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.

Course Curriculum

  • Introduction to Data Science
  • Overview of Data Analytics and its applications
  • Understanding the Data Science Workflow
  • Introduction to Data Visualization
  • Introduction to Relational Databases and SQL
  • Data Manipulation with SQL
  • Querying and Filtering Data
  • Aggregating and Grouping Data
  • Joins and Subqueries
  • 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
  • Advanced Functions and Formulas in Excel
  • Data Cleaning and Transformation
  • Pivot Tables and Data Visualization
  • Data Analysis Tools in Excel
  • Introduction to Data Visualization
  • Creating Interactive Dashboards with Power BI
  • Visualizing Data with Tableau
  • Design Principles for Effective Visualizations
  • Introduction to Python Programming
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Handling Data in NumPy
  • Data Analysis with Python
  • Introduction to Machine Learning
  • Supervised Learning (Regression, Classification)
  • Unsupervised Learning (Clustering, Dimensionality Reduction)
  • Model Evaluation and Selection
  • Feature Engineering and Selection
  • Introduction to Deep Learning
  • Artificial Neural Networks
  • Convolutional Neural Networks (Computer Vision)
  • Recurrent Neural Networks (Natural Language Processing)
  • Transfer Learning and Model Deployment
  • Introduction to NLP
  • Text Preprocessing and Tokenization
  • Sentiment Analysis and Text Classification
  • Named Entity Recognition
  • Text Generation with RNNs
  • Introduction to Computer Vision
  • Image Processing Techniques
  • Object Detection and Recognition
  • Image Segmentation
  • Face Recognition
  • Introduction to Time Series Data
  • Time Series Visualization and Decomposition
  • Forecasting Techniques (ARIMA, SARIMA)
  • Evaluating Time Series Models
  • Time Series Anomaly Detection

Programming Languages & Tools

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Key Benefits

100% Job
Practical Training Approach
Comprehensive Study Material
Instant Doubt
Industry-Relevant Curriculum
Experienced Instructors
Career Guidance and Mentoring
Networking Opportunities

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.

Trusted by 90,000+ Student

Career Credentials exceeded my expectations! The instructors were knowledgeable, and the course was well-structured. Thanks to them, I landed my dream job as a full stack developer within weeks.

Trigya Debanik Roy MORGAN STANLEY

Career Credentials changed the game for me. The curriculum was comprehensive, and they provided interview preparation. I'm now working as a full stack developer, all thanks to Career Credentials!

Reena Kanhekar WIPRO

Impressive experience at Career Credentials. The instructors were supportive, and the course emphasized the latest industry trends. I gained technical skills and confidence to excel in my new career.

Gopesh Jangid BYJU'S

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.

Prashant Ganesh Pandey ORACLE

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!

Pooja Mishra CISCO

Frequently Asked Questions

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.

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.

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.

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.

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.

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.

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