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Data Science Training Course

Master tools and technologies like Python, R, SQL, Tableau, and machine learning frameworks

Based on 99 Reviews

  • Duration : 1 Month / 3 Months / 6 Months
  • Language: English
  • Certificate of Completion
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EduNova|Data Science
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Data Science Training Course Overview

EduNova’s Data Science Training is designed for individuals looking to build a career in this rapidly growing field. Our comprehensive course covers essential topics such as data analysis, machine learning, statistics, and data visualization using tools like Python, R, and SQL. With hands-on projects, real-world case studies, and expert guidance, learners gain practical experience and insights into data-driven decision-making. Whether you’re a beginner or aiming to advance your skills, EduNova’s Data Science Training equips you to thrive in this high-demand industry.

Why Choose EduNova for Data Science Training

EduNova offers expert-led Data Science Training with a focus on practical learning. Our curriculum covers essential tools and techniques, including machine learning, data visualization, and Python, ensuring you gain in-depth knowledge. With hands-on projects, real-world case studies, and personalized support, we prepare you for the challenges of the data science industry. Flexible schedules and expert guidance make EduNova the ideal choice for anyone looking to master data science and boost their career.

Key Features
Globally Recognised Certification
Dedicated Placement Cell & HR Support
Live Online and Offline Classes
Dedicated doubts Session
Lifetime Career Guidance & Job Change Support
Highly Skilled Trainers
Course Topics You will Learn
Introduction to Data Science
  • Overview of Data Science
  • The Data Science Workflow: Data Collection, Cleaning, Exploration, Modeling, and Deployment
  • Introduction to Data Science Libraries in Python
  • NumPy, Pandas, Matplotlib, Seaborn
  • Data Science Tools: Jupyter Notebooks, Anaconda, Google Colab
Python for Data Science

NumPy:

  • Introduction to NumPy arrays
  • Array operations: slicing, indexing, and reshaping
  • Statistical operations: mean, median, standard deviation
  • Array transformations and broadcasting

Pandas:

  • Introduction to Pandas DataFrames and Series
  • Data manipulation: filtering, sorting, and merging
  • Data cleaning and preprocessing: handling missing values, duplicates
  • Grouping, aggregation, and pivoting data

Matplotlib & Seaborn:

  • Basic plotting: Line, Bar, Scatter, and Histogram charts
  • Customizing plots: titles, labels, legends
  • Advanced visualizations: Heatmaps, Boxplots, Pairplots, and Violin plots
  • Correlation analysis and data distributions
Data Exploration and Preprocessing
  • Data Cleaning Techniques: Handling missing values, outliers, and duplicates
  • Data Transformation: Scaling, Normalization, and Encoding
  • Feature Engineering: Creating new features, feature selection, and dimensionality reduction
  • Dealing with Imbalanced Data
  • Exploratory Data Analysis (EDA): Univariate, Bivariate, and Multivariate analysis
Statistical Analysis and Inference
  • Introduction to Probability Theory
  • Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation
  • Inferential Statistics: Hypothesis testing, p-values, confidence intervals
  • Distributions: Normal, Binomial, Poisson, etc.
  • Correlation and Causation
Supervised Learning
  • Linear Regression
  • Logistic Regression
  • k-Nearest Neighbors (k-NN)
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
Unsupervised Learning
  • Clustering Techniques:
  • k-Means Clustering
  • Hierarchical Clustering
  • DBSCAN
Data Visualization Tools for Data Science

Tableau

  • Introduction to Tableau Interface
  • Connecting Tableau to different data sources
  • Creating visualizations: Bar charts, Line charts, Scatter plots, Pie charts
  • Building Dashboards
  • Advanced Visualizations: Heatmaps, Tree Maps, Bullet Charts
  • Interactive features: Filters, Parameters, Tooltips, and Dashboard Actions
  • Publishing and Sharing Tableau Dashboards

Power BI

  • Introduction to Power BI Interface
  • Importing and Transforming Data with Power Query
  • Data Modeling in Power BI: Relationships, DAX Functions
  • Creating Visualizations: Bar charts, Line charts, and Maps
  • Building Reports and Dashboards
  • Interactive Features: Slicers, Drill-through, and Tooltips
  • Power BI Service: Publishing, Sharing, and Collaborating

This Course Include

  • Language: English & Hindi
  • Duration : 1 Month / 3 Months / 6 Months
  • Learning Mode: At Center ( Only Offline Classes )
  • Certificate of Completion

Eligibility Criteria

✅ Anyone with basic computer knowledge can join our courses based on their preferences and career goals.
 ✅ Suitable for all age groups and backgrounds, including:

  • School Students – Build a strong foundation in coding and technology.
  • Job Seekers & Undergraduates – Gain in-demand skills to enhance employability.
  • Working Professionals & Government Employees – Upskill for career growth and new opportunities.
  • Homemakers – Learn and explore career opportunities in the tech industry.

Premium Course

Register For This Course

    Who will Teach You
    Haninder Kaur
    Haninder Kaur
    Artificial Intelligence

    About Mrs. Haninder Kaur

    Haninder Kaur, an MCA graduate with over 5 years of experience, specializes in Python, Artificial Intelligence (AI), and Machine Learning (ML). She is passionate about leveraging these technologies to develop innovative solutions that solve complex problems. Haninder has contributed to projects involving data analysis, predictive modeling, and automation. Her ability to break down complex concepts into digestible knowledge makes her an excellent mentor for those eager to explore AI and ML. Haninder’s expertise and forward-thinking approach position her as a key player in the rapidly evolving tech landscape.

    Based on 99 Reviews

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    • ISO: 9001:2015 Certified Data Science Certification.
    • Certificates are globally recognized & they upgrade your programming profile.
    • Certificates are generated after the completion of course.
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    What Students Say About us
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    I feel thankful to have taken this course
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    Rahul Bundela
    It is absolutely clear and easy to understand.
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    Frequently Asked Questions
    Why is the perfect eLearning Placement program Unique?

    They are unique because of their unique approach i.e; Placement, training then Hike. Firstly, they get students placed then give 8 Months of training in any Certification of your choice and at least a 70% hike after 10 months.

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    Do you offer certifications upon course completion?

    Yes. We offer certifications upon course completion.

    What skills are in-demand in the job market?

    Python
    Data science
    Artificial Intelligence
    Digital marketing
    Cyber Security
    Data Analytics
    Quantum computing/ Cloud computing
    Android App development
    Web development

    Can I pay my fee in installments?

    Yes, we offer installment plans for fee payments. Contact us.

    What skills are in-demand in the job market?

    Python
    Data science
    Artificial Intelligence
    Digital marketing
    Cyber Security
    Data Analytics
    Quantum computing/ Cloud computing
    Android App development
    Web development

    EduNova|Data Science