Advanced Data Science Training

Train with a Founder & Industry Expert of 10+ Years Experience.
Secure Your Dream Job in Just 4 Months!

flask api
Git
jupyter
Mongo DB
NLP
numpy
Open CV
flask
Tableau
SQL
Visual studio Data science training
Python
Pandas

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    Upcoming Batches

    • 25-Nov-2024
    Mon-Fri
    Week Days Regular
    08:00 AM & 10:00 AM Batches
    (Class 1Hr – 1:30Hrs) / Per Session
    Course Fee
    • 25-Nov-2024
    Mon-Fri
    Week Days Regular
    10:00 AM & 12:00 PM Batches
    (Class 1Hr – 1:30Hrs) / Per Session
    Course Fee
    • 23-Nov-2024
    Sat-Sunday
    Weekend Fast Track
    09:00 AM & 01:00 PM Batches
    (Class 3Hrs – 4Hrs) / Per Session
    Course Fee
    20 Students per Batch, Reserve your spot now!

    What we teach?

    Introduction to Data Science

    Exploratory Data Analysis

    Data Preprocessing

    Data Cleaning

    Machine Learning Basics

    Supervised Learning Algorithms

    Unsupervised Learning Techniques

    Clustering

    Dimensionality Reduction

    Natural Language Processing

    Time Series Analysis & Forecasting

    Data Visualization

    Matplotlib

    Seaborn

    Plotly

    Web Scraping

    Data Collection

    Deep Learning Fundamentals

    Feature Engineering and Selection

    Model Evaluation & Performance Metrics

    Big Data Analytics

    Geospatial Data Analysis & Mapping

    Recommender Systems

    Anomaly Detection & Outlier Analysis

    Sentiment Analysis

    Deployment of Machine Learning Models with Flask

    Ethical Considerations & Bias in Data Science

    Dimensionality Reduction

    Tools Covered

    Git
    NLP MuleSoft Developer
    Mongo DB
    Open CV Data science training
    Pandas
    NumPy-BCG Data science training
    Python
    API MuleSoft Developer
    SQL
    Visual studio Data science training
    Tableau
    flask
    jupyter Data science

    Course Objective - Career Opportunities

    • Data Science Intern
    • Junior Data Scientist
    • Data Analyst
    • Data Science Research Assistant
    • Data Scientist
    • Machine Learning Engineer
    • Data Science Consultant
    • Predictive Analytics Specialist
    • Statistical Modeler
    • Senior Data Scientist
    • Lead Machine Learning Scientist
    • Data Science Team Lead
    • Principal Data Scientist
    • Applied Machine Learning Architect
    • Data Science Manager
    • Chief Data Scientist
    • Machine Learning Director
    • Data Science Fellow
    • Chief AI Officer (CAIO)

    Our Students Learning Path

    Data science training institute

    Hands-on Real Time Data Science Projects

    Retail Sales Prediction

    Project Overview:

    Analyze historical sales data from a retail company to predict future sales volumes. Utilize supervised learning techniques, focusing on regression algorithms.

    Social Media Trend Analysis

    Project Overview:

    Perform sentiment analysis and trend identification on social media data to gauge public perception of a brand or product.

    Healthcare Patient Data Analysis

    Project Overview:

    Analyze patient data to predict health outcomes and identify key factors affecting patient health. This project focuses on supervised learning techniques to predict outcomes such as readmission rates.

    Book a Free Live Demo

    92% students got placed, It's your turn, register now.

      Course curriculum

      • Introduction to data science and its applications
      • Understanding the data science workflow
      • Overview of Python programming language

      Topics Covered:

      • Variables, data types, and operators
      • Control flow: if statements, loops
      • Functions and modules
      • Introduction to NumPy for numerical computing
      • Introduction to Pandas for data manipulation and analysis
      • Introduction to Matplotlib and Seaborn for data visualization
      • Creating basic plots: line plots, bar plots, scatter plots
      • List comprehensions and lambda functions
      • Error handling with try-except blocks
      • File handling: reading and writing files
      • Descriptive statistics: mean, median, mode, variance, standard deviation
      • Probability distributions: normal, binomial, Poisson
      • Hypothesis testing: t-tests, chi-square tests

      Topics Covered:

      • Understanding the importance of EDA
      • Techniques for EDA: summary statistics, data visualization
      • Dealing with missing values
      • Feature scaling and normalization
      • Encoding categorical variables
      • Understanding supervised and unsupervised learning
      • Overview of machine learning algorithms
      • Linear Regression
      • Logistic Regression
      • Decision Trees and Random Forests
      • K-means Clustering
      • Hierarchical Clustering
      • Dimensionality Reduction: PCA

      Topics Covered:

      • Cross-validation
      • Model evaluation metrics: accuracy, precision, recall, F1-score
      • Hyperparameter tuning
      • Support Vector Machines (SVM)
      • Ensemble Methods: Bagging, Boosting
      • Introduction to Neural Networks
      • Basics of neural networks
      • Introduction to TensorFlow or PyTorch for deep learning
      • Introduction to NLP
      • Text preprocessing techniques
      • Building NLP models: sentiment analysis, text classification
      • Apply learned concepts to a real-world dataset
      • Define a problem statement
      • Data exploration, preprocessing, modeling, and evaluation
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      Frequently Asked Questions

      No prior knowledge or experience in data science is required to enroll in the course. However, a basic understanding of programming (preferably in Python) and mathematics (especially statistics) will be beneficial to maximize your learning experience.

      The course primarily focuses on Python due to its widespread use in the data science community. You will also become proficient in using data science libraries and tools such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, Plotly, Beautiful Soup, Scrapy, and Flask for various data science tasks.

      The course duration varies, but it typically spans several months to ensure comprehensive coverage of all topics. Students are expected to commit approximately 10-15 hours per week, which includes watching lectures, participating in lab sessions, and working on projects.

      Hands-on projects are a core component of the course, allowing you to apply what you’ve learned to real-world datasets and scenarios. Projects are conducted through a combination of solo work and collaboration with peers, under the guidance of instructors. You’ll use cloud-based notebooks and data science platforms to complete these projects.

      Upon completion of the course, you will receive comprehensive career support, including resume review, interview preparation, and access to a network of employers looking to hire data science professionals. We also offer guidance on building a professional portfolio to showcase your projects to potential employers.

      Yes, you will receive a Data Science Certification upon successfully completing the course. This certification is recognized by industry professionals and can significantly enhance your career prospects.

      The cost of the course varies depending on the learning track and any additional resources or support services you opt for. We offer a range of financial aid options, including installment plans, scholarships, and loan partnerships, to help make the course more accessible.

      Our course distinguishes itself through a curriculum designed by industry experts, focusing on the latest tools and technologies. It offers a blend of theoretical knowledge and practical, hands-on experience, including real-time projects that simulate actual data science challenges. Additionally, our comprehensive career support ensures that you are job-ready upon completion.

      Yes, throughout the course, you will have numerous opportunities to network with data science professionals through guest lectures, industry panels, and alumni events. These networking opportunities can provide valuable insights into the data science industry and help you build professional connections.

      Testimonials

      Unlocking the Power of Data with Syntax Minds

      Enrolling in the data science and analytics course at Syntax Minds in
      Hyderabad was the turning point of my career. The curriculum was
      comprehensive, covering everything from Python programming and machine
      learning to predictive analytics. The hands-on projects and the expertise of
      the instructors were exceptional. They prepared me to tackle real-world data
      challenges confidently. For anyone looking to dive deep into data science,
      Syntax Minds is the place to start!

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      Aditya Patel

      Data Scientist at DataGen Technologies, Bengaluru.

      Mastering Data Science with Syntax Minds

      The data science course offered by Syntax Minds is simply unmatched. The
      cutting-edge curriculum, equipped with the latest tools and technologies, set
      me up for success in the highly competitive field of data science. The
      faculty’s dedication to student success, coupled with their industry
      experience, makes Syntax Minds stand out. As a graduate, I now have a solid
      foundation in both theory and practice, making me a sought-after
      professional in the industry

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      Vikram Singh

      Data Analyst atNextGen Data Solutions, New Delhi

      From Beginner to Data Analytics Expert

      I was pretty new to the field of data analytics when I joined Syntax Minds.
      Their course in Hyderabad transformed me from a beginner to an expert,
      thanks to their detailed curriculum and practical approach to teaching. The
      learning environment was supportive and engaging, making complex
      concepts easier to grasp. I highly recommend Syntax Minds to anyone
      looking to make a mark in data analytics.

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      Meera Gupta

      Business Analyst at Insight Ventures, Mumbai.

      Mastering Data Science with Syntax Minds

      The data science course offered by Syntax Minds is simply unmatched. The
      cutting-edge curriculum, equipped with the latest tools and technologies, set
      me up for success in the highly competitive field of data science. The
      faculty’s dedication to student success, coupled with their industry
      experience, makes Syntax Minds stand out. As a graduate, I now have a solid foundation in both theory and practice, making me a sought-after
      professional in the industry

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      Vivek

      Data Analyst at NextGen Data Solutions, New Delhi

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