Data Science Course!

Acquire a solid understanding of essential data science concepts such as data manipulation, cleaning, and preprocessing using tools like Python and R!

Bestseller

5.0

5,510 rating

3,253 students

Key Course Feature

2.5 Months, 1.30 hr/day (flexible timings)
Lesson Videos: 60
Course and Internship Completion Certification
Affordable fee and EMI facility
Placement Assistance Till get placed
Industry live projects under the supervision of 15+ experienced trainer
Course material, quizzes, assignments to assist in learning

₹39,000 ₹78,000

3 days left!

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What you'll learn

Foundational Data Skills

Acquire a solid understanding of essential data science concepts such as data manipulation, cleaning, and preprocessing using tools like Python and R.

Statistical Analysis Techniques

Learn statistical methods for data analysis, hypothesis testing, and inferential statistics to extract meaningful insights from datasets.

Machine Learning Algorithms

Explore a variety of machine learning algorithms including regression, classification, clustering, and dimensionality reduction to build predictive models and uncover patterns in data.

Data Visualization and Interpretation

Master data visualization techniques using libraries like Matplotlib and Seaborn to create clear and insightful visualizations that communicate complex data effectively.

Big Data Tools and Technologies

Familiarize yourself with big data tools and technologies such as Hadoop, Spark, and Hive for processing and analyzing large datasets efficiently.

Real-World Applications and Projects

Apply data science techniques to real-world datasets and projects, gaining hands-on experience in solving business problems, making data-driven decisions, and communicating findings effectively.

Course Content

Understanding the role of data science in various industries
Introduction to Python programming language and its applications in data science
Overview of essential libraries such as NumPy, Pandas, and Matplotlib

Data acquisition techniques: scraping, APIs, and databases
Data cleaning and preprocessing: handling missing values, outliers, and duplicates
Exploratory Data Analysis (EDA) using descriptive statistics and visualization techniques

Descriptive statistics: mean, median, mode, variance, and standard deviation
Probability distributions and hypothesis testing techniques
Analysis of variance (ANOVA) and chi-square tests for categorical data

Overview of supervised and unsupervised learning algorithms
Regression analysis: linear regression, polynomial regression
Classification techniques: logistic regression, decision trees, and ensemble methods

Support Vector Machines (SVM) for classification and regression
Clustering algorithms: K-means, hierarchical clustering
Dimensionality reduction techniques: PCA, t-SNE

Cross-validation techniques for assessing model performance
Evaluation metrics: accuracy, precision, recall, F1-score
Overfitting and underfitting: techniques for model regularization

Introduction to big data concepts and challenges
Overview of Hadoop ecosystem: HDFS, MapReduce, and YARN
Introduction to Apache Spark for distributed data processing

Data visualization techniques using libraries like Matplotlib, Seaborn, and Plotly
Building interactive visualizations and dashboards
Effective communication of insights through data storytelling

Introduction to NLP and its applications
Text preprocessing techniques: tokenization, stemming, and lemmatization
Sentiment analysis, text classification, and named entity recognition

Fundamentals of neural networks: architecture, activation functions, and backpropagation
Building deep learning models using frameworks like TensorFlow and Keras
Applications of deep learning in image classification, object detection, and natural language processing

Applying data science techniques to a real-world project
Solving a business problem or conducting research using acquired skills
Presenting findings and insights to peers and stakeholders

Industry recognized certification

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Instructor

Nandini Patel

The Data Science Course trainer is a seasoned expert with extensive experience in the field of data science and analytics. Possessing a deep understanding of statistical analysis, machine learning algorithms, and data visualization techniques, they are adept at guiding students through the intricacies of this dynamic field. With a passion for teaching and a commitment to excellence, they create a stimulating learning environment where students can explore complex concepts with confidence. Their hands-on approach, coupled with real-world examples and projects, ensures that students not only grasp theoretical concepts but also gain practical skills essential for success in the industry. As mentors, they inspire and empower students to unleash their potential and embark on rewarding careers in data science.

Review

5.0

Course Rating

82%

12%

Students review

Alisha Verma

"The Data Science Course exceeded my expectations in every aspect. Mr. Sharma, our trainer, brought clarity to complex concepts with his thorough explanations and real-world examples. The hands-on projects were incredibly enriching. Highly recommend this course!"

Sumit Singh

"Enrolling in the Data Science Course was a game-changer for me. Ms. Reddy, our trainer, was not only knowledgeable but also incredibly supportive throughout the course. The curriculum was well-structured, and the practical exercises helped solidify my understanding. Truly invaluable!""

Abhishek Mishra

"I'm immensely grateful for the opportunity to have taken the Data Science Course. Mr. Singh, our trainer, went above and beyond to ensure each student grasped the material. The interactive sessions and collaborative projects made learning enjoyable. Definitely worth the investment!"

Preeti Patel

"The Data Science Course provided me with a comprehensive understanding of the subject. Ms. Kapoor, our trainer, was a fantastic mentor, guiding us through challenging topics with patience and expertise. The course content was top-notch, and the hands-on experience was invaluable. Highly recommended!""

Rohini Desai

"Attending the Data Science Course was a wise decision. Mr. Desai, our trainer, was incredibly knowledgeable and passionate about the subject. The practical projects were well-designed, allowing us to apply what we learned in real-world scenarios. I feel confident to pursue a career in data science thanks to this course!"

Mohan Kumar

"I cannot speak highly enough of the Data Science Course. Ms. Rao, our trainer, created a supportive learning environment where every student felt valued. The course content was comprehensive, and the emphasis on practical skills was commendable. Thank you for such a enriching experience!"

Priyanshi Gupta

"Enrolling in the Data Science Course was a turning point in my career. Mr. Kumar, our trainer, was an exceptional teacher, breaking down complex concepts into digestible chunks. The hands-on projects challenged me to think critically and creatively. I'm grateful for the skills I've gained!"

Aryan Kapoor

"The Data Science Course provided me with the knowledge and skills needed to excel in the field. Ms. Joshi, our trainer, was not only an expert in the subject but also a supportive mentor. The course curriculum was well-paced, and the practical exercises were enlightening. Highly recommend this course to anyone interested in data science!"

Ayesha Khan

Taking the Data Science Course was one of the best decisions I've made. Mr. Verma, our trainer, was incredibly passionate about the subject, which made the learning experience enjoyable. The course content was thorough, and the hands-on projects were a highlight. I feel confident to tackle real-world data science challenges after completing this course!"

Vivek Mishra

"I'm thrilled with the quality of the Data Science Course. Ms. Singh, our trainer, was not only knowledgeable but also supportive and approachable. The course materials were well-organized, and the practical sessions were insightful. I feel well-prepared to transition into a data science role. Thank you for such a fantastic learning experience!"