This comprehensive Data Science Course will equip you with the essential skills and knowledge needed to excel in the field of data science. From data analysis and visualization to machine learning and big data technologies, this course covers all aspects of data science, providing practical insights and real-world applications.


  • Module 1: Introduction to Data Science

    • What is Data Science?
      • Definition and scope
      • Importance and applications of data science
    • The Data Science Process
      • Steps in the data science workflow
      • CRISP-DM methodology
    • Tools and Technologies
      • Overview of popular tools (Python, R, SQL)
      • Setting up your data science environment
  • Module 2: Data Collection and Data Cleaning

    • Data Collection Techniques
      • Web scraping and APIs
      • Data from databases
      • Data formats (CSV, JSON, XML)
    • Data Cleaning and Preprocessing
      • Handling missing values
      • Data transformation and normalization
      • Data quality assessment
  • Module 3: Exploratory Data Analysis (EDA)

    • Introduction to EDA
      • Importance of EDA
      • Techniques for data exploration
    • Descriptive Statistics
      • Measures of central tendency and variability
      • Data distributions and outliers
    • Data Visualization
      • Visualization tools and libraries (Matplotlib, Seaborn)
      • Creating effective charts and plots
  • Module 4: Statistical Analysis

    • Probability and Distributions
      • Basic probability concepts
      • Common probability distributions
    • Hypothesis Testing
      • Null and alternative hypotheses
      • Type I and Type II errors
      • P-values and confidence intervals
    • Regression Analysis
      • Linear regression
      • Multiple regression
      • Model evaluation metrics
  • Module 5: Machine Learning

    • Introduction to Machine Learning
      • What is machine learning?
      • Supervised vs. unsupervised learning
    • Supervised Learning Algorithms
      • Regression algorithms (Linear Regression, Decision Trees)
      • Classification algorithms (Logistic Regression, K-Nearest Neighbors, SVM)
    • Unsupervised Learning Algorithms
      • Clustering algorithms (K-Means, Hierarchical Clustering)
      • Dimensionality reduction (PCA, t-SNE)
    • Model Evaluation and Optimization
      • Cross-validation
      • Hyperparameter tuning
      • Model selection criteria
  • Module 6: Advanced Machine Learning

    • Ensemble Methods
      • Bagging and boosting
      • Random Forests and Gradient Boosting Machines (GBM)
    • Deep Learning
      • Introduction to neural networks
      • Convolutional Neural Networks (CNNs)
      • Recurrent Neural Networks (RNNs)
    • Natural Language Processing (NLP)
      • Text preprocessing techniques
      • Sentiment analysis
      • Topic modeling
  • Module 7: Big Data Technologies

    • Introduction to Big Data
      • Characteristics of big data (Volume, Velocity, Variety)
      • Big data ecosystem and tools
    • Hadoop and Spark
      • Hadoop architecture and HDFS
      • Introduction to Apache Spark
      • Spark SQL and DataFrames
    • Data Warehousing and ETL
      • ETL process
      • Data warehousing concepts
      • Tools for ETL (Talend, Apache Nifi)
  • Module 8: Data Visualization and Reporting

    • Advanced Data Visualization
      • Interactive visualization tools (Tableau, Power BI)
      • Dashboards and storytelling
    • Reporting and Communication
      • Creating comprehensive reports
      • Best practices for data presentation
      • Communicating insights effectively
  • Module 9: Capstone Project

    • Project Planning and Execution
      • Defining the problem statement
      • Data collection and preparation
      • Model building and evaluation
    • Final Presentation and Feedback
      • Presenting your findings
      • Receiving feedback from peers and instructors
      • Course completion and certification

Join Our Free DEMO CLASS

Join our demo classes at JP Tech Institute to see what we offer! We know it’s important to choose the right course, so we let you try a class first.

In these sessions, you can meet our teachers, see the course materials, and do hands-on activities related to the course.

This helps you decide if the course fits your interests and goals. You can ask questions, clear up any doubts, and get a good idea of what to expect before signing up for a full course.

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Deepa Tyagi
Deepa Tyagi
13 June 2024
Name - Deepa Tyagi Course - Microsoft office Best institute for every student . And facilities very good or my experience with jp tech has been nothing short of excellent As a coaching centre they have truly surpassed my expesctionn in every way possible.
asad khan
asad khan
10 June 2024
I am mohd asad i am doing full stack development from JP tech institute Very best atmosphere and very educated and experience holder teacher and i am very thanks full to doing my work from there ( A.C labs ) ❤️
8 June 2024
AKASH THAKUR MY COURSE PRIME TALLY ,GST BEST COCHING CENTER There are so many facilities in here like ac classroom digital panel and much more
Dhruv Thakur
Dhruv Thakur
8 June 2024
Dhruv Thakur - A.D.I.T.S.M- i am learning in this institute. The teachers here are very helpfull and teach about everything you need to learn about computer. I had a positive review about this institute and if anyone is looking for learning computer then this will be the best institute for you.
Kehkashan Ansari
Kehkashan Ansari
6 June 2024
Name kehkashan Course tally prime with g.s.t I tried in many institutes but I never got a chance to learn or do anything good But I got to learn and study well in this institute. I liked this institute the best.
Prince Singh
Prince Singh
31 May 2024
जेपी टेक इंस्टीट्यूट कंप्यूटर कोर्स के लिए बहुत अच्छी जगह है, आप यहां कंप्यूटर कोर्स भी कर सकते हैं, आप या सभी कोर्स कर सकते हैं, सर या मैडम बहुत अच्छे हैं, जेपी टेक इंस्टीट्यूट आपको हर समय सिखाने की कोशिश करेगा, इसलिए आप जल्दी से कर सकते हैं आओ और जेपी टेक इंस्टीट्यूट में कोर्स करो, ओ लेवल कक्षाएं हैं चल रहा है
Harshit Chauhan
Harshit Chauhan
25 May 2024
Adca my review - Best institute for every student . And facilities very good or my experience with jp tech has been nothing short of excellent As a coaching centre they have truly surpassed my expesctionn in every way possible. One of the standout features of jp tech institute is their professional faculty looking for the coaching centre with smart boards and no extra fees? I had a positive experience with jp tech institute NAME-- !! HAARSHUU !! course ADCA 🦅🌪️
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Prince Kaushik
25 May 2024
My self Prince Kaushik course - ADCA - Best institute for every students and My experience at JP tech institute has been nothing short of excellent. As a coaching centre They have truely surpassed my expectation in every way possible. Looking for a coaching centre with smartboards , professionally faculty, and no extra fees. Their excellent services and communities , I had a positive experince with jp tech institute.🫶👍
Diksha Singh
Diksha Singh
24 May 2024
name: diksha source : O level The experience is quite nice , the atmosphere Is appreciable and educational .
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