Machine Learning + Data Science

Machine Learning With Data Science course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, Visualization tools, NLP, Database and Machine Learning algorithms. Become a Data Scientist by diving deep into the nuances of data interpretation, mastering technologies like ML, Deep learning, NLP and mastering powerful programming skills to take your career in ML and Data Science to the next level.
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29,999 + 18% GST

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65,000 + 18% GST

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Program Overview

Job opportunities for Machine Learning + Data Science

Exciting Career Prospects for
Machine Learning + Data Science

LearNowX’s Machine Learning + Data Science course includes hands-on capstone projects. Various libraries and algorithms will be explained in-depth by our training experts. Get hands-on experience with our practitioners and engineers in this Machine Learning + Data Science course & become a certified professional.
Key Skills You’ll Gain!
Explore the Program Syllabus
Placement Assistance*

Highlights

Admin Role:
  • Grad: BE/BTECH/BCA/BSC (PCMS)
  • PG: MCA/MSC IT (Maths/Stats)
  • X, XII, Grad/PG = 60%
Placement Eligibility
  • Assistance: Age <25
  • Assistance: Age >25

Admission Process

1

Pre-Assessment Test

Take the Pre-assessment session for us to know you better, your strengths and weaknesses to motivate you on the correct path.

2

Demo Classes

You get a free demo class with Learnowx so that you know what you are signing up for.

3

Sign up & Enroll for a Program

After the demo class, pick the Machine Learning + Data Science Program. Congratulations!! You are enrolled to become a trendsetter.

Career Support

Make Your Career Count With LearNowX

Data Science is evolving drastically, and so is the interest of our young generation. With LearNowX, Become a Machine Learning Expert by diving deep into the sea of data interpretation, mastering multiple technologies, and powerful programming skills to wing your career in Machine Learning fly higher than your imagination.

Learning Path

Get the best of personalized classroom learning and gain acquaintance with fellow learners in the orientation class.
Explore the course and learn the ins & outs of Python along with practical applications of supervised and unsupervised reinforcement algorithms and many more advanced concepts of Machine Learning.
Gain a deep understanding of the Statistics for Machine Learning, Data Preprocessing, Data Visualisation, Regression Analysis, and Dimensionality Reduction.

Skills Covered

Why Join this Program

Gain Practical Knowledge and expertise

Practical knowledge and assistance for Professional Certifications

Industry Level Projects

Learn via Industry Level Case studies and Live Projects on leading IT companies

Live and one-to-one Industry Expert Sessions

Live sessions by Top Machine Learning Experts and experienced professionals

Learn In-Demand Skills

Get hands-on training about the tech skills and soft skills you need to succeed

Course Statistics

With a 95% employment success rate, the Machine Learning + Data Science course is in high demand across industries, and the numbers will keep increasing over time. As per the latest survey & reports, below are the stats to give you a clear vision of the Machine Learning + Data Science course.

7-8 LPA

Average Annual Salary

80%

Hiring Growth in the Al-ML/Data Science domain

11.5 Million

Job openings by 2026 Worldwide

Certifications

Attain certification as aMachine Learning + Data Science through the esteemed LearNowX academy, known for its professional excellence and industry recognition.
Instantly kickstart your
professional goal!

Machine Learning + Data Science

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Program Benefits

Frequently Asked Question

The course suits beginners and professionals seeking comprehensive machine learning and data science knowledge.
The curriculum covers Python, PostgreSQL, machine learning, deep learning, CNN, and NLP.
Graduates will have a solid understanding of Python, machine learning algorithms, deep learning frameworks, CNN, and NLP, preparing them for machine learning and data science roles.
The program agreement outlines enrollment, payment, refund, cancellation policies, code of conduct, and intellectual property rights. Reviewing and agreeing to these terms before enrolling is recommended.

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