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Advanced Data Science Training

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

Top Rated in 2024

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    Data Science Engineers Demand by 2025

    According to a recent report by Nasscom and Zynga, the number of data science jobs in India is set to grow from 2,720 in 2018 to as many as 16,500 by 2025. This presents a huge opportunity for those looking to make a career in data science.

    Who Can Learn?

    • Students
    • Professionals
    • Career Changers
    • Entrepreneurs
    • Researchers
    • Data Analysts
    • Anyone with Curiosity
    The Average Salary in India 12-13 LPA

    Tools & Technologies

    jupyter
    NLP
    numpy
    Pandas
    Python
    Tableau
    SQL 2
    visual studio code icon 1
    Open CV
    Git 1
    ChatGPT Logo
    Jira Ticketing tool

    Learning Curve

    Advanced Data Science IBM Certified Training

    Course Fee

    35K

    EMI Options Available

    Certificate Syntax Minds
    • Download Broucher

    35K

    EMI Options Available
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    Frequently Asked Questions

    Our data science course stands out for its specialization in profile marketing, backed by a team of digital marketing experts. We leverage our extensive database and strong industry relations to provide practical insights into profile marketing strategies.
    With over 10 years of experience in job consulting, we possess deep insights into current job trends and demand across various sectors. This enables us to tailor our training to meet the specific needs of the industry, ensuring our students are well-prepared for the job market.
    We guarantee 4-10 interviews scheduled for our students upon completion of the course. Leveraging our vast network and connections, both within the industry and on platforms like LinkedIn, we facilitate opportunities for our students to secure rewarding positions in data science.
    We provide personalized guidance and consulting for individuals with career gaps, helping them navigate their re-entry into the workforce. Our experienced team offers support and resources to address any concerns and enhance their employability.
    Our training sessions are conducted by industry experts with extensive experience in data science. They bring real-world insights and practical knowledge to the classroom, ensuring our students receive the highest quality of education.
    In addition to regular training sessions, we offer weekly workshops with industry experts to delve deeper into specific topics and latest developments in data science. These workshops provide valuable insights and networking opportunities for our students.
    Absolutely! We understand that resume preparation is an essential aspect of job hunting. Our team of experts helps craft professional resumes tailored to each student’s skills and experiences, ensuring they make a strong impression on potential employers.
    Yes, we offer LinkedIn profile optimization services to enhance our students’ online presence and visibility to potential employers. Our consultants work closely with students to optimize their profiles, highlighting their skills and experiences in data science to attract relevant opportunities.
    For more information about our data science course and enrollment details, please visit our website or contact our admissions team. We’re here to support you in taking the next step towards a successful career in data science!

    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!

    std1

    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

    std2

    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.

    std7

    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

    std6

    Vivek

    Data Analyst at NextGen Data Solutions, New Delhi

    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
    data science full stack