Data Science Professional Certification Course
Course Name - Data Science Professional Certification Course
This course is designed to provide students with a comprehensive understanding of become Data Scientist.
Course Overview
This comprehensive Data Science course introduces learners to the field’s fundamental concepts and advanced techniques. Starting from the basics, the course covers essential skills such as data preprocessing, statistical analysis, programming with Python/R, machine learning, and data visualization. Learners will work on real-world datasets and gain hands-on experience with tools like Pandas, NumPy, Scikit-learn, and Tableau. Advanced topics include deep learning, natural language processing, and big data analysis. By the end of the course, participants will have a strong foundation in data science and the ability to solve complex problems using data-driven approaches.
Course Type
Entry-Level to Advanced (progressing from beginner to advanced topics).
Course Objectives
– Equip learners with foundational skills in data science, including programming and statistical analysis.
– Develop expertise in data preprocessing, visualization, and exploration.
– Teach machine learning algorithms and their real-world applications.
– Introduce advanced topics like deep learning, natural language processing, and big data.
– Provide practical experience through hands-on projects and capstone work.
– Prepare learners for a career in data science with portfolio-ready projects and career support.
What You'll Learn?
– Understand the data science workflow and tools used in the industry.
– Preprocess and analyze data using Python/R and libraries like Pandas and NumPy.
– Implement machine learning models, including supervised and unsupervised algorithms.
– Create compelling visualizations and dashboards using Tableau and Matplotlib/Seaborn.
– Explore deep learning techniques with TensorFlow or PyTorch for advanced projects.
– Gain familiarity with big data tools like Spark and Hadoop.
– Work on real-world problems and present actionable insights effectively.
Duration
150–200 hours, including theory, practicals, and project work.
Requirements
– A computer with internet access and the ability to install required software.
– Tools like Python (Jupyter Notebook/Anaconda), RStudio, Tableau, and database systems (MySQL, PostgreSQL, or similar).
Prerequisites
– Basic computer skills.
– Familiarity with high school-level mathematics (basic algebra and statistics).
Target Audience
– Aspiring data scientists and analysts looking to enter the field.
– Students and graduates in STEM disciplines seeking applied data skills.
– Professionals wanting to transition into data-driven roles.
– Entrepreneurs and decision-makers aiming to leverage data for business growth.
Batch Details
Batch Start Date
Batch Timing
Batch End Date
Batch Days
Curriculum
– What is Data Science?
– Data Science Process and Workflow
– Overview of Tools and Technologies (Python, R, SQL)
– Applications of Data Science
– Data Types and Formats
– Data Cleaning and Handling Missing Data
– Exploratory Data Analysis (EDA)
– Feature Engineering and Selection
– Python Programming Essentials
– Libraries for Data Science: NumPy, Pandas
– Data Manipulation and Analysis in R
– Descriptive and Inferential Statistics
– Probability Distributions and Hypothesis Testing
– Regression Analysis and Correlation
– Introduction to Data Visualization
– Visualization Tools: Matplotlib, Seaborn, Tableau
– Building Dashboards and Storytelling with Data
– Supervised Learning (Linear Regression, Decision Trees)
– Unsupervised Learning (K-Means, PCA)
– Model Evaluation (Accuracy, Precision, Recall, F1-Score)
– Overfitting, Underfitting, and Cross-Validation
– Ensemble Methods (Random Forest, Gradient Boosting)
– Support Vector Machines (SVM)
– Time Series Analysis
– Basics of Neural Networks
– Deep Learning Frameworks (TensorFlow, PyTorch)
– Convolutional Neural Networks (CNNs)
– Recurrent Neural Networks (RNNs) and LSTMs
– Text Preprocessing (Tokenization, Stemming, Lemmatization)
– Sentiment Analysis and Text Classification
– Word Embeddings (Word2Vec, GloVe)
– Introduction to Big Data (Hadoop, Spark)
– Data Science in the Cloud (AWS, Azure, GCP)
– Working with NoSQL Databases
– Solving a real-world problem using the skills acquired.
– End-to-end project development (data collection, analysis, modeling, and presentation).
– Building a Data Science Portfolio
– Resume and LinkedIn Profile Optimization
– Interview Preparation and Job Search Strategies
FAQ
Tech Learniversity stands as a premier e-learning platform, offering live, interactive online training across a wide range of subjects, including Data Science, Cybersecurity, Business Intelligence, and more. Our affordable and accessible learning solutions serve a global audience, creating a vast community of learners from the US, India, the UK, Canada, and beyond.
Below are the services offered by Tech Learniversity.
1. Online Training Courses
2. Corporate Training
3. Online Institute Training
4. Online College Training
5. Online School Training
6. Online Customized 1 to 1 Training Courses
7. Online Customized Group Training Courses
8. Online Professional Internship Program
9. Online Interview Preparation Training
10.Online Customized Project Preparation
Why Choose Us
- Live Instructor Led Training
- In-depth Industry Ready Training
- Live Projects
- Watch recorded Video for Online and Offline Viewing
- Internship Program
- Letter of Recommendation (LOR)
- Real time working experience
- Job Interview Preparation
- Customized 1 to 1 Training
- Customized Group Training
- Referral Bonus
- Freelance Work
- Community for Discussion
- Superfast Support
All the Tech Learniversity course available on our website are live Instructor led training.
Play Store: Tech Learniversity link: https://play.google.com/store/apps/details?id=co.lily.zustc
IOS Store: My Institute link: https://apps.apple.com/in/app/my-institute/id1472483563
How to Login to IOS App (My Institute)
We do not provide EMI facility but you can convert through Credit Card or any other method as per availability.
We will provide placement assistance after the completion of the course in coming months.
Classes will be conducted on Zoom app and link will be shared via e-mail. We will be sending you the instructions on how to attend the live class in your mobile, laptop or desktop once you enroll in any of our courses.
Yes, you can watch recordings in the mobile app or by visiting our web version with your login credentials. You will find the recording in your purchased course section after you login. We will be sending you the instructions on how to view the recorded live class in your mobile, tablet, laptop or desktop.
Yes, you will get Completion Certification after completion of the course.
Tech Learniversity is ISO Certified (ISO 9001:2015) firm which has good value in corporate world. Certificate Number is 305022111717Q.