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Data Science

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Course Description

Experience and learn concepts needed by a data science. In this course, you will get a full overview of the Data Science journey. Upon completing this course you will be able to prepare your data for analysis, perform basic visualization of data and model your data. All Anexas courses emphasize practicality and hence include many exercise and real-time projects

Course Benefits

After becoming a data scientist your life will change completely. Better salaries, advanced skill sets, better job profiles, and influential networks are just a few of the benefits of the Anexas Data Science certification. Given below is the list of benefits you will receive after doing your training with Anexas and becoming a certified Data Scientist:
  • Interactive online live training with industry experts.
  • Lifetime dashboard access to course materials.
  • Content-rich study material.
  • Free eBooks with worked out projects.
  • Project guidance
  • Real-time project completion during the training.
  • Participants will be certified by ANEXAS Europe.
  • A soft and hard copy of the certificate.
  • International recognition.
  • Learn from the best trainers.
  • Tools required for the training.
  • Open book online test for certification.
  • 100% Pass rate guaranteed.
  • Lifetime membership to Anexas Alumni group.
  • Get a chance to win cashback benefits.
  • Online Line Customer support 24*7.

Course Duration

144 Hrs

Study Material

Training Options

Self Learning

Online Live Training

  • 140+ hours of course completion
  • Live interaction with instant query clarification
  • Continuous project guidance
  • Global recognition
  • Trained Data Scientist Certificate from Anexas Europe
  • Access to learning videos
  • Diverse training batch
  • Flexible timings

Upcoming Batch

Weekday Batch: Contact [email protected]

Weekend Batch: 11th June

Classroom Training

Corporate Training

Course Content

  • Various Data Science disciplines
  • Connecting the Data Science disciplines
  • Benefits of each discipline
  • Popular Data Science techniques
  • Popular Data Science tools
  • Careers in Data Science
  • Clearing common misconceptions

  • Combinatorics
  • Bayesian Inference
  • Distributions
  • Probability in other fields

  • Descriptive statistics
  • Practical Examples
  • Inferential Statistics
  • Practical Examples
  • Hypothesis testing
  • Practical Examples

  • Variables and data types
  • Basic Python Syntax
  • Python operators
  • Conditional statements
  • Python functions
  • Sequences
  • Iterations
  • Advanced Python Tools

  • Linear Regression with StatsModels
  • Multiple Linear Regression with StatsModels
  • Linear Regression with sklearn
  • Practical examples
  • Logistic Regression
  • Cluster Analysis
  • K-means clustering
  • Other types of clustering

  • Introduction to Neural Networks
  • Neural network from scratch with NumPy
  • TensorFlow
  • Deeper into Neural Network
  • Overfitting
  • Initialization
  • Gradient descent and Learning Rate Schedules
  • Preprocessing
  • Classifying on the MNIST Dataset
  • Business case Example

Enquiry Form

Industry Projects

FAQ

Data Science is very much favoured in almost all industries today because of its vast usage in data analytics, predictions, statistical facts and figures and trends. Due to advancements in technology, the importance of Data Science has increased and will be more in the upcoming years. As a Data Scientist, you will have uncountable opportunities in different industries and almost all companies as it is multi-disciplinary and every industry will be in need.

Data Science is your own path to having your dreams come true as Data Scientists are needed not only just in every leading industry but also in leading cities in the world. Data Science is your coupon to get into top MNC companies. The career scope as a Data Scientist is infinite and it can only be fully utilized by learning and gaining expertise in the skills with our Data Science certification.

  • ITIL, IoT, SIX SIGMA Certified professional with 14 years of experience in Project & Service Operation management.
  • Highly skilled in data Visualisation with MLOps tools & providing complex business solutions.
  • Handling Projects for Telecom & IT firms.
  • BE in Electronics & Telecommunication with first class from Mumbai University.

  • High demand
  • Infinite career opportunities
  • Highest pay due to high exigency
  • Recruited by top companies
  • Flexibility to switch domains
  • Opportunity to pursue self-career

According to recent research, a Data Scientist earns an average of $114,000 USD in the United States and 900,000 INR in India every year. Data Science is the most fruitful career option nowadays. Some common job roles are-

  • Data Scientist
  • Python Programmer
  • Machine Learning Engineer
  • Data Analyst
  • Data Engineer

Experience and learn basic to advanced concepts needed by a data scientist. In this course, you will get a full overview of the Data Science journey. Upon completing this course you will be able to prepare your data for analysis, perform basic visualisation of data and model your data. All Anexas courses emphasize practicality and hence include many exercises and real-time projects

Yes. Once you pay the fees for the training, all the other costs such as certification cost, examination cost, study material costs, tools and software costs will be included and no extra charges will be levied.

Anexas offers the following payment options:

    • Card payment
    • Net Banking
    • Cash

    Can I Cancel my enrollment? Will I get a refund?

    • If the cancellation is done by the delegate before 72 hours of the start of the training, 10% will be deducted as administration fee.
    • If the cancellation is done by the delegate after that, no refund will be made.
    • After making the payment, the delegate can postpone the training date and join another batch, without any additional charges.

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Soft Copy Certificate

Hard Copy Certificate

Soft Copy Certificate

Hard Copy Certificate

Soft Copy Certificate

Hard Copy Certificate

Green Belt Project Guidance

Black Belt Project Guidance

Weekend Training Dates:

July 27, Aug 3, 10, 17, 2024

Aug 24, 31, Sep 14, 21, 2024

Sep 28, Oct 5, 19, 26, 2024

Nov 23, 30, Dec 7, 14, 2024

Dec 21, Jan 4, 11, 18, 2025

Weekdays Training Dates:

Oct 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 2024

Weekend Training Dates:

Aug 31, Sep 14, 21, 28, Oct 5, 19, 26, 2024

Nov 9, 16, 23, 30, Dec 7, 2024

Weekdays Training Dates:

July 31, Aug 1, 5, 6, 7, 8, 12, 13, 14, 19, 20, 21, 22, 26, 27, 28, Sep 3, 4, 5, 9, 11, 12

Sep 25, 26, Oct 1, 3, 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 28, 29, 30, Nov 4, 5, 6, 7

Dec 2, 3, 4, 5, 9, 10, 11, 12, 16, 17, 18, 19, 20, 23, 2024 Jan 2, 3, 6, 7, 8, 9, 20, 21, 22, 2025

Weekend Training Dates:

July 19, 20, 27, 2024

July 14, 20, 27, 2024

Sep 14, 15, 21, 2024

Sep 14, 20, 21, 2024

Oct 6, 19, 20, 2024

Oct 18, 19, 25, 2024

Nov 10, 16, 17, 2024

Nov 15, 16, 22, 2024

Dec 8, 14, 15, 2024

Dec 13, 14, 20, 2024

Jan 5, 11, 12, 2025

Jan 11, 17, 2025

Weekdays Training Dates:

July 11, 15, 16, 18, 22, 23, 24, 25

July 11, 15, 16, 18, 19, 22, 23, 24, 25

Aug 12, 13, 14, 19, 20, 21, 22, 23, 26, 27

Aug 12, 13, 14, 19, 20, 21, 22, 26

Sep 13, 18, 19, 20, 24, 25, 26, 27

Sep 13, 17, 18, 19, 20, 23, 24, 25, 26, 27

Oct 15, 16, 17, 18, 21, 22, 23, 24

Oct 16, 17, 18, 21, 22, 23, 24, 25, 28

Nov 13, 14, 18, 19, 20, 21, 25, 26

Nov 15, 18, 19, 20, 21, 22, 25, 26, 27

Dec 10, 11, 12, 13, 16, 17, 18, 19

Dec 11, 12, 13, 16, 17, 18, 19, 20, 23

Jan 16, 17, 20, 21, 22, 23, 27, 28, 2025

Jan 17, 20, 21, 22, 23, 24, 27, 28, 29, 2025

Weekend Training Dates:

July 28, Aug 4, 11, 2024

Jul 5, 12, 13 2024 

Aug 25, Sep 1, 8 2024

Aug 23, 30 Sep 6, 2024

Sep 28, 29, Oct 5, 2024

Sep 28, Oct 4, 5 2024

Oct 26, 27, Nov 9, 2024

Oct 26, Nov 8, 9, 2024

Nov 30, Dec 1, 7, 2024

Nov 30, Dec 6, 7, 2024

Dec 21, 22, 2024 Jan 4, 2025

Dec 21, 27, 2024 Jan 4, 2025

Weekdays Training Dates:

July 29, 30, 31, Aug 1, 5, 6, 7, 8

July 29, 30, 31, Aug 1, 2, 5, 6, 7, 8, 9

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10, 11, 12

Sep 30, Oct 1, 3, 7, 8, 9, 10, 14

Sep 30, Oct 1, 3, 4, 7, 8, 9, 10, 14, 15

Oct 28, 29, Nov 4, 5, 6, 7, 11, 12

Oct 29, Nov 4, 5, 6, 7, 8, 11, 12, 13, 14

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9, 10

Dec 20, 23, 2024 Jan 2, 6, 7, 8, 9, 10, 2025

Dec 20, 23, 2024 Jan 2, 3, 6, 8, 9, 10, 16, 2025