Data Science Training Program

Steer your career with JMM AI. Get a chance in JMM Data Science training program that is designed in such a manner that it will equip you with valuable experience of working in professional environment.
About the program
about the program
Data Science Training Course is meant to give learners a hands-on introduction to Data Science and to prepare them for a career in the field. The 3-months course will provide you with all of the necessary tools to work as a Data Scientist. Trainees will learn the specific data science skills that employers look for in Data Scientists. After completing the training, trainees will have acquired the practical knowledge to pursue a successful job as a Data Scientist.
This internship operates in a professional office environment at JMM Technologies Office Abbottabad, Pakistan. Enroll for Data Science Training course.
What You Will Gain From This Program?
Data is extremely important to all organizations, and at all levels. Data experts are needed across the board, including banking and finance, automotive, energy, healthcare, transportation, retail, and practically every other industry. Data Science course will be directly involved in key strategic decision-making processes. You will be prepared for a career as a data scientist or data analyst after completing this training. This will equip you with the skills necessary to begin a career in data science.
This internship operates in a professional office environment at JMM Technologies Office Abbottabad, Pakistan. Enroll for Data Science Training course.
Key Features
• Interactive Instructor Physical workspace in Abbottabad, Pakistan
• Collaborative work culture gain experience and grow your technical skills
• Course study materials designed by subject matter experts
• Exposure to technical challenges Challenges that have not been described in a text book yet
Who Should Attend?
This course is for anyone who want to learn techniques to help managers make decisions, predict future revenues, segment markets, produce better content and diagnosis patients more effectively
People having a solid background in an analytical discipline such as mathematics, physics, computer science, or engineering
Software Engineers from different technology background who want to explore the Data Warehouse and Business Intelligence development process
Data Science as a Career
An increasing number of organizations have realized that data science can be a powerful enabler to uncover useful business insights and gain a competitive advantage in the market.
It has evolved as an important digital asset for organizations. Data science can be very useful to answer these questions and design a data-driven strategy. It can help organizations to perform a SWOT analysis, identify risks and opportunities as well as evaluate past and future trends to arrive at a robust, effective strategy. Data science provides the much-needed business intelligence that is crucial to achieving desired business outcomes at optimal risk-return trade-off.
Sounds good to you?
Start learning on our Data Scientist career path.
Program Structure
Get a peek inside our program content
Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9-10, 11, 12
Course outline for week 1
  • Brainstorming on data science
  • Brainstorming on Problems
  • Brainstorming on big Data
  • Brainstorming on domains of data science
  • Problem solving approaches in Data Science
  • Research type and research helping links (Official links)
    (Medium, GitHub)
  • Domains and types of AI
  • Tools in Data Science
  • Types of Tools in Data Science
  • Data Mining
  • Gathering Data (links, websites)
Course outline for week 2
  • Introduction to colab
  • Introduction to Jupyter notebook (Jupyter env)
  • Introduction to python
  • Libraries in Python
  • Numpy
  • Pandas
  • Lists
  • Keras
  • Tensors
Course outline for week 3
  • Labs all at least 5 labs
Course outline for week 4
  • Labs on Data Visualization, labs
Course outline for week 5
  • Data science problem solving approaches map (Diagram)
  • Mini project on classification (Discrete)
  • Domain on Classification (Finance)
Course outline for week 6
  • Data science problem solving approaches map (Diagram)
    •
  • Mini project on classification (continuous)
  • Domain on regression (time series)
Course outline for week 7
  • Deep Learning
  • Data science problem solving approaches map (Diagram)
  • Mini project on clustering (continuous)
  • Domain on clustering (Medical)
Course outline for week 8
  • Getting ready for the project
  • Gathering data
  • Collecting and generating data
Course outline for week 9 - 10
  • MAJOR PROJECT ON BI DASHBOARD
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